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|---|---|---|---|---|---|---|---|---|---|---|---|
DR.VIC: Decomposition and Reasoning for Video Individual Counting
| 6
|
cvpr
| 9
| 8
|
2023-06-03 15:12:49.520000
|
https://github.com/taohan10200/drnet
| 44
|
Dr. vic: Decomposition and reasoning for video individual counting
|
https://scholar.google.com/scholar?cluster=6120306712778926266&hl=en&as_sdt=0,33
| 5
| 2,022
|
Pseudo-Q: Generating Pseudo Language Queries for Visual Grounding
| 18
|
cvpr
| 5
| 0
|
2023-06-03 15:12:49.715000
|
https://github.com/leaplabthu/pseudo-q
| 116
|
Pseudo-q: Generating pseudo language queries for visual grounding
|
https://scholar.google.com/scholar?cluster=1079438410491832434&hl=en&as_sdt=0,14
| 2
| 2,022
|
ImFace: A Nonlinear 3D Morphable Face Model With Implicit Neural Representations
| 14
|
cvpr
| 7
| 1
|
2023-06-03 15:12:49.909000
|
https://github.com/mingwuzheng/imface
| 125
|
Imface: A nonlinear 3d morphable face model with implicit neural representations
|
https://scholar.google.com/scholar?cluster=11337079410561771178&hl=en&as_sdt=0,44
| 23
| 2,022
|
MobRecon: Mobile-Friendly Hand Mesh Reconstruction From Monocular Image
| 26
|
cvpr
| 60
| 8
|
2023-06-03 15:12:50.104000
|
https://github.com/SeanChenxy/HandMesh
| 278
|
MobRecon: Mobile-friendly hand mesh reconstruction from monocular image
|
https://scholar.google.com/scholar?cluster=2734254068249927802&hl=en&as_sdt=0,5
| 10
| 2,022
|
The Neurally-Guided Shape Parser: Grammar-Based Labeling of 3D Shape Regions With Approximate Inference
| 6
|
cvpr
| 0
| 0
|
2023-06-03 15:12:50.299000
|
https://github.com/rkjones4/ngsp
| 4
|
The neurally-guided shape parser: Grammar-based labeling of 3d shape regions with approximate inference
|
https://scholar.google.com/scholar?cluster=1666091857334650840&hl=en&as_sdt=0,5
| 3
| 2,022
|
AlignMixup: Improving Representations by Interpolating Aligned Features
| 17
|
cvpr
| 8
| 4
|
2023-06-03 15:12:50.502000
|
https://github.com/shashankvkt/alignmixup_cvpr22
| 55
|
Alignmixup: Improving representations by interpolating aligned features
|
https://scholar.google.com/scholar?cluster=15402867223438087088&hl=en&as_sdt=0,26
| 1
| 2,022
|
Novel Class Discovery in Semantic Segmentation
| 10
|
cvpr
| 3
| 2
|
2023-06-03 15:12:50.696000
|
https://github.com/HeliosZhao/NCDSS
| 57
|
Novel class discovery in semantic segmentation
|
https://scholar.google.com/scholar?cluster=13123220317420170415&hl=en&as_sdt=0,44
| 4
| 2,022
|
HerosNet: Hyperspectral Explicable Reconstruction and Optimal Sampling Deep Network for Snapshot Compressive Imaging
| 8
|
cvpr
| 8
| 0
|
2023-06-03 15:12:50.891000
|
https://github.com/jianzhangcs/herosnet
| 21
|
Herosnet: Hyperspectral explicable reconstruction and optimal sampling deep network for snapshot compressive imaging
|
https://scholar.google.com/scholar?cluster=9806896834866016887&hl=en&as_sdt=0,5
| 2
| 2,022
|
MAXIM: Multi-Axis MLP for Image Processing
| 124
|
cvpr
| 81
| 12
|
2023-06-03 15:12:51.085000
|
https://github.com/google-research/maxim
| 716
|
Maxim: Multi-axis mlp for image processing
|
https://scholar.google.com/scholar?cluster=18275282813589182456&hl=en&as_sdt=0,5
| 12
| 2,022
|
Disentangling Visual Embeddings for Attributes and Objects
| 16
|
cvpr
| 2
| 2
|
2023-06-03 15:12:51.279000
|
https://github.com/nirat1606/oadis
| 24
|
Disentangling visual embeddings for attributes and objects
|
https://scholar.google.com/scholar?cluster=215939798860441698&hl=en&as_sdt=0,5
| 4
| 2,022
|
Detecting Deepfakes With Self-Blended Images
| 37
|
cvpr
| 22
| 18
|
2023-06-03 15:12:51.475000
|
https://github.com/mapooon/selfblendedimages
| 121
|
Detecting deepfakes with self-blended images
|
https://scholar.google.com/scholar?cluster=7314584816604343182&hl=en&as_sdt=0,5
| 7
| 2,022
|
Towards Better Understanding Attribution Methods
| 9
|
cvpr
| 4
| 0
|
2023-06-03 15:12:51.669000
|
https://github.com/sukrutrao/attribution-evaluation
| 11
|
Towards better understanding attribution methods
|
https://scholar.google.com/scholar?cluster=13578269228145112248&hl=en&as_sdt=0,44
| 2
| 2,022
|
MiniViT: Compressing Vision Transformers With Weight Multiplexing
| 47
|
cvpr
| 166
| 22
|
2023-06-03 15:12:51.864000
|
https://github.com/microsoft/cream
| 1,064
|
Minivit: Compressing vision transformers with weight multiplexing
|
https://scholar.google.com/scholar?cluster=14067747907803223122&hl=en&as_sdt=0,5
| 25
| 2,022
|
On the Integration of Self-Attention and Convolution
| 87
|
cvpr
| 36
| 16
|
2023-06-03 15:12:52.059000
|
https://github.com/leaplabthu/acmix
| 281
|
On the integration of self-attention and convolution
|
https://scholar.google.com/scholar?cluster=17860676705797643505&hl=en&as_sdt=0,18
| 4
| 2,022
|
PSTR: End-to-End One-Step Person Search With Transformers
| 10
|
cvpr
| 8
| 7
|
2023-06-03 15:12:52.254000
|
https://github.com/jialecao001/pstr
| 31
|
PSTR: End-to-end one-step person search with transformers
|
https://scholar.google.com/scholar?cluster=17186904653130910323&hl=en&as_sdt=0,31
| 5
| 2,022
|
Weakly Supervised Segmentation on Outdoor 4D Point Clouds With Temporal Matching and Spatial Graph Propagation
| 5
|
cvpr
| 0
| 0
|
2023-06-03 15:12:52.449000
|
https://github.com/dante0shy/W4DTS
| 4
|
Weakly supervised segmentation on outdoor 4d point clouds with temporal matching and spatial graph propagation
|
https://scholar.google.com/scholar?cluster=8736466185006926519&hl=en&as_sdt=0,11
| 1
| 2,022
|
Consistency Driven Sequential Transformers Attention Model for Partially Observable Scenes
| 7
|
cvpr
| 1
| 1
|
2023-06-03 15:12:52.643000
|
https://github.com/samrudhdhirangrej/STAM-Sequential-Transformers-Attention-Model
| 5
|
Consistency driven sequential transformers attention model for partially observable scenes
|
https://scholar.google.com/scholar?cluster=12665179691187026215&hl=en&as_sdt=0,5
| 2
| 2,022
|
NFormer: Robust Person Re-Identification With Neighbor Transformer
| 29
|
cvpr
| 9
| 7
|
2023-06-03 15:12:52.836000
|
https://github.com/haochenheheda/nformer
| 56
|
Nformer: Robust person re-identification with neighbor transformer
|
https://scholar.google.com/scholar?cluster=17136560426512678248&hl=en&as_sdt=0,14
| 1
| 2,022
|
NeurMiPs: Neural Mixture of Planar Experts for View Synthesis
| 7
|
cvpr
| 10
| 4
|
2023-06-03 15:12:53.030000
|
https://github.com/zhihao-lin/neurmips
| 105
|
Neurmips: Neural mixture of planar experts for view synthesis
|
https://scholar.google.com/scholar?cluster=1632486663608785078&hl=en&as_sdt=0,5
| 7
| 2,022
|
DiffusionCLIP: Text-Guided Diffusion Models for Robust Image Manipulation
| 123
|
cvpr
| 91
| 14
|
2023-06-03 15:12:53.224000
|
https://github.com/gwang-kim/diffusionclip
| 592
|
Diffusionclip: Text-guided diffusion models for robust image manipulation
|
https://scholar.google.com/scholar?cluster=9357336449213296541&hl=en&as_sdt=0,5
| 7
| 2,022
|
Unseen Classes at a Later Time? No Problem
| 0
|
cvpr
| 4
| 0
|
2023-06-03 15:12:53.419000
|
https://github.com/sumitramalagi/unseen-classes-at-a-later-time
| 12
|
Unseen Classes at a Later Time? No Problem
|
https://scholar.google.com/scholar?cluster=9796461758714223638&hl=en&as_sdt=0,36
| 1
| 2,022
|
GlideNet: Global, Local and Intrinsic Based Dense Embedding NETwork for Multi-Category Attributes Prediction
| 5
|
cvpr
| 2
| 0
|
2023-06-03 15:12:53.613000
|
https://github.com/kareem-metwaly/glidenet
| 24
|
Glidenet: Global, local and intrinsic based dense embedding network for multi-category attributes prediction
|
https://scholar.google.com/scholar?cluster=13841981352415211893&hl=en&as_sdt=0,22
| 1
| 2,022
|
Learning the Degradation Distribution for Blind Image Super-Resolution
| 12
|
cvpr
| 10
| 17
|
2023-06-03 15:12:53.807000
|
https://github.com/greatlog/UnpairedSR
| 135
|
Learning the degradation distribution for blind image super-resolution
|
https://scholar.google.com/scholar?cluster=11157268463116975803&hl=en&as_sdt=0,34
| 5
| 2,022
|
Self-Supervised Spatial Reasoning on Multi-View Line Drawings
| 0
|
cvpr
| 1
| 0
|
2023-06-03 15:12:54.001000
|
https://github.com/ai4ce/Contrastive-SPARE3D
| 21
|
Self-supervised Spatial Reasoning on Multi-View Line Drawings
|
https://scholar.google.com/scholar?cluster=12979398971543214260&hl=en&as_sdt=0,19
| 3
| 2,022
|
Hybrid Relation Guided Set Matching for Few-Shot Action Recognition
| 18
|
cvpr
| 4
| 12
|
2023-06-03 15:12:54.195000
|
https://github.com/alibaba-mmai-research/HyRSM
| 21
|
Hybrid relation guided set matching for few-shot action recognition
|
https://scholar.google.com/scholar?cluster=3952513944084278223&hl=en&as_sdt=0,33
| 2
| 2,022
|
Delving Into the Estimation Shift of Batch Normalization in a Network
| 8
|
cvpr
| 5
| 5
|
2023-06-03 15:12:54.389000
|
https://github.com/huangleibuaa/xbnblock
| 25
|
Delving into the estimation shift of batch normalization in a network
|
https://scholar.google.com/scholar?cluster=4738166450324685205&hl=en&as_sdt=0,47
| 2
| 2,022
|
NLX-GPT: A Model for Natural Language Explanations in Vision and Vision-Language Tasks
| 8
|
cvpr
| 7
| 0
|
2023-06-03 15:12:54.583000
|
https://github.com/fawazsammani/nlxgpt
| 31
|
NLX-GPT: A model for natural language explanations in vision and vision-language tasks
|
https://scholar.google.com/scholar?cluster=8662989333140452131&hl=en&as_sdt=0,34
| 1
| 2,022
|
Cross-Patch Dense Contrastive Learning for Semi-Supervised Segmentation of Cellular Nuclei in Histopathologic Images
| 17
|
cvpr
| 6
| 3
|
2023-06-03 15:12:54.778000
|
https://github.com/zzw-szu/cdcl
| 23
|
Cross-patch dense contrastive learning for semi-supervised segmentation of cellular nuclei in histopathologic images
|
https://scholar.google.com/scholar?cluster=1318173233917005478&hl=en&as_sdt=0,5
| 1
| 2,022
|
Joint Forecasting of Panoptic Segmentations With Difference Attention
| 1
|
cvpr
| 2
| 1
|
2023-06-03 15:12:54.971000
|
https://github.com/cgraber/psf-diffattn
| 4
|
Joint forecasting of panoptic segmentations with difference attention
|
https://scholar.google.com/scholar?cluster=11350100219269203678&hl=en&as_sdt=0,21
| 1
| 2,022
|
WarpingGAN: Warping Multiple Uniform Priors for Adversarial 3D Point Cloud Generation
| 4
|
cvpr
| 1
| 1
|
2023-06-03 15:12:55.165000
|
https://github.com/yztang4/warpinggan
| 16
|
Warpinggan: Warping multiple uniform priors for adversarial 3d point cloud generation
|
https://scholar.google.com/scholar?cluster=1870479647707327308&hl=en&as_sdt=0,5
| 1
| 2,022
|
Frame-Wise Action Representations for Long Videos via Sequence Contrastive Learning
| 10
|
cvpr
| 6
| 3
|
2023-06-03 15:12:55.359000
|
https://github.com/minghchen/carl_code
| 60
|
Frame-wise Action Representations for Long Videos via Sequence Contrastive Learning
|
https://scholar.google.com/scholar?cluster=15909063164280067703&hl=en&as_sdt=0,5
| 3
| 2,022
|
Forward Propagation, Backward Regression, and Pose Association for Hand Tracking in the Wild
| 4
|
cvpr
| 2
| 0
|
2023-06-03 15:12:55.553000
|
https://github.com/cvlab-stonybrook/HandLer
| 20
|
Forward propagation, backward regression, and pose association for hand tracking in the wild
|
https://scholar.google.com/scholar?cluster=13815293027556568808&hl=en&as_sdt=0,5
| 6
| 2,022
|
Generalized Binary Search Network for Highly-Efficient Multi-View Stereo
| 12
|
cvpr
| 11
| 7
|
2023-06-03 15:12:55.747000
|
https://github.com/mizhenxing/gbi-net
| 94
|
Generalized binary search network for highly-efficient multi-view stereo
|
https://scholar.google.com/scholar?cluster=2067795094219418786&hl=en&as_sdt=0,5
| 9
| 2,022
|
Face2Exp: Combating Data Biases for Facial Expression Recognition
| 20
|
cvpr
| 3
| 0
|
2023-06-03 15:12:55.941000
|
https://github.com/danzeng1990/face2exp
| 10
|
Face2exp: Combating data biases for facial expression recognition
|
https://scholar.google.com/scholar?cluster=6305348363652601881&hl=en&as_sdt=0,26
| 0
| 2,022
|
Towards Robust and Reproducible Active Learning Using Neural Networks
| 28
|
cvpr
| 4
| 0
|
2023-06-03 15:12:56.135000
|
https://github.com/prateekmunjal/torchal
| 48
|
Towards robust and reproducible active learning using neural networks
|
https://scholar.google.com/scholar?cluster=9506328256170962398&hl=en&as_sdt=0,33
| 2
| 2,022
|
ES6D: A Computation Efficient and Symmetry-Aware 6D Pose Regression Framework
| 6
|
cvpr
| 2
| 6
|
2023-06-03 15:12:56.329000
|
https://github.com/ganwanshui/es6d
| 27
|
ES6D: A Computation Efficient and Symmetry-Aware 6D Pose Regression Framework
|
https://scholar.google.com/scholar?cluster=11437985035935432033&hl=en&as_sdt=0,33
| 3
| 2,022
|
Mega-NERF: Scalable Construction of Large-Scale NeRFs for Virtual Fly-Throughs
| 49
|
cvpr
| 44
| 19
|
2023-06-03 15:12:56.523000
|
https://github.com/cmusatyalab/mega-nerf
| 346
|
Mega-nerf: Scalable construction of large-scale nerfs for virtual fly-throughs
|
https://scholar.google.com/scholar?cluster=9397631381611401&hl=en&as_sdt=0,5
| 15
| 2,022
|
Temporally Efficient Vision Transformer for Video Instance Segmentation
| 20
|
cvpr
| 18
| 9
|
2023-06-03 15:12:56.717000
|
https://github.com/hustvl/tevit
| 214
|
Temporally efficient vision transformer for video instance segmentation
|
https://scholar.google.com/scholar?cluster=12121457393934602812&hl=en&as_sdt=0,36
| 7
| 2,022
|
OoD-Bench: Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization
| 23
|
cvpr
| 8
| 0
|
2023-06-03 15:12:56.912000
|
https://github.com/ynysjtu/ood_bench
| 42
|
Ood-bench: Quantifying and understanding two dimensions of out-of-distribution generalization
|
https://scholar.google.com/scholar?cluster=12360806136384688467&hl=en&as_sdt=0,5
| 3
| 2,022
|
Forecasting From LiDAR via Future Object Detection
| 10
|
cvpr
| 9
| 0
|
2023-06-03 15:12:57.106000
|
https://github.com/neeharperi/futuredet
| 104
|
Forecasting from lidar via future object detection
|
https://scholar.google.com/scholar?cluster=9283857749595095965&hl=en&as_sdt=0,33
| 3
| 2,022
|
The Devil Is in the Margin: Margin-Based Label Smoothing for Network Calibration
| 14
|
cvpr
| 6
| 1
|
2023-06-03 15:12:57.301000
|
https://github.com/by-liu/mbls
| 41
|
The devil is in the margin: Margin-based label smoothing for network calibration
|
https://scholar.google.com/scholar?cluster=3433503507084425850&hl=en&as_sdt=0,5
| 1
| 2,022
|
OnePose: One-Shot Object Pose Estimation Without CAD Models
| 36
|
cvpr
| 67
| 28
|
2023-06-03 15:12:57.500000
|
https://github.com/zju3dv/OnePose
| 791
|
Onepose: One-shot object pose estimation without cad models
|
https://scholar.google.com/scholar?cluster=3971107129233795900&hl=en&as_sdt=0,33
| 56
| 2,022
|
Cloth-Changing Person Re-Identification From a Single Image With Gait Prediction and Regularization
| 41
|
cvpr
| 5
| 2
|
2023-06-03 15:12:57.694000
|
https://github.com/jinx-USTC/GI-ReID
| 31
|
Cloth-changing person re-identification from a single image with gait prediction and regularization
|
https://scholar.google.com/scholar?cluster=13715470973363687442&hl=en&as_sdt=0,5
| 5
| 2,022
|
CRAFT: Cross-Attentional Flow Transformer for Robust Optical Flow
| 36
|
cvpr
| 5
| 1
|
2023-06-03 15:12:57.888000
|
https://github.com/askerlee/craft
| 58
|
Craft: Cross-attentional flow transformer for robust optical flow
|
https://scholar.google.com/scholar?cluster=15464678858494458398&hl=en&as_sdt=0,33
| 3
| 2,022
|
Federated Class-Incremental Learning
| 30
|
cvpr
| 17
| 2
|
2023-06-03 15:12:58.083000
|
https://github.com/conditionwang/fcil
| 66
|
Federated class-incremental learning
|
https://scholar.google.com/scholar?cluster=1565556417311154296&hl=en&as_sdt=0,5
| 4
| 2,022
|
Self-Supervised Deep Image Restoration via Adaptive Stochastic Gradient Langevin Dynamics
| 7
|
cvpr
| 0
| 0
|
2023-06-03 15:12:58.277000
|
https://github.com/wang-weixi/restricted_sampling
| 10
|
Self-supervised deep image restoration via adaptive stochastic gradient langevin dynamics
|
https://scholar.google.com/scholar?cluster=7828036028065181633&hl=en&as_sdt=0,5
| 2
| 2,022
|
Extracting Triangular 3D Models, Materials, and Lighting From Images
| 83
|
cvpr
| 193
| 52
|
2023-06-03 15:12:58.471000
|
https://github.com/NVlabs/nvdiffrec
| 1,703
|
Extracting triangular 3d models, materials, and lighting from images
|
https://scholar.google.com/scholar?cluster=6158309756121688689&hl=en&as_sdt=0,31
| 51
| 2,022
|
Can Neural Nets Learn the Same Model Twice? Investigating Reproducibility and Double Descent From the Decision Boundary Perspective
| 31
|
cvpr
| 12
| 0
|
2023-06-03 15:12:58.667000
|
https://github.com/somepago/dbviz
| 66
|
Can neural nets learn the same model twice? investigating reproducibility and double descent from the decision boundary perspective
|
https://scholar.google.com/scholar?cluster=8786312838221119947&hl=en&as_sdt=0,34
| 3
| 2,022
|
Cross-Modal Background Suppression for Audio-Visual Event Localization
| 13
|
cvpr
| 5
| 0
|
2023-06-03 15:12:58.862000
|
https://github.com/marmot-xy/cmbs
| 22
|
Cross-modal background suppression for audio-visual event localization
|
https://scholar.google.com/scholar?cluster=6736750991894490913&hl=en&as_sdt=0,10
| 1
| 2,022
|
Parameter-Free Online Test-Time Adaptation
| 25
|
cvpr
| 4
| 3
|
2023-06-03 15:12:59.057000
|
https://github.com/fiveai/lame
| 53
|
Parameter-free online test-time adaptation
|
https://scholar.google.com/scholar?cluster=2855726690492926827&hl=en&as_sdt=0,5
| 5
| 2,022
|
Multi-View Transformer for 3D Visual Grounding
| 13
|
cvpr
| 1
| 4
|
2023-06-03 15:12:59.254000
|
https://github.com/sega-hsj/mvt-3dvg
| 44
|
Multi-view transformer for 3d visual grounding
|
https://scholar.google.com/scholar?cluster=17924715872503683586&hl=en&as_sdt=0,10
| 4
| 2,022
|
Scalable Penalized Regression for Noise Detection in Learning With Noisy Labels
| 12
|
cvpr
| 0
| 0
|
2023-06-03 15:12:59.448000
|
https://github.com/yikai-wang/spr-lnl
| 14
|
Scalable penalized regression for noise detection in learning with noisy labels
|
https://scholar.google.com/scholar?cluster=458554296339547749&hl=en&as_sdt=0,10
| 1
| 2,022
|
SIGMA: Semantic-Complete Graph Matching for Domain Adaptive Object Detection
| 30
|
cvpr
| 11
| 2
|
2023-06-03 15:12:59.643000
|
https://github.com/cityu-aim-group/sigma
| 106
|
Sigma: Semantic-complete graph matching for domain adaptive object detection
|
https://scholar.google.com/scholar?cluster=17887538672732382103&hl=en&as_sdt=0,5
| 6
| 2,022
|
Continual Predictive Learning From Videos
| 4
|
cvpr
| 2
| 2
|
2023-06-03 15:12:59.838000
|
https://github.com/jc043/cpl
| 10
|
Continual Predictive Learning from Videos
|
https://scholar.google.com/scholar?cluster=17445780936647782462&hl=en&as_sdt=0,5
| 1
| 2,022
|
Global Convergence of MAML and Theory-Inspired Neural Architecture Search for Few-Shot Learning
| 10
|
cvpr
| 2
| 0
|
2023-06-03 15:13:00.033000
|
https://github.com/yitewang/metantk-nas
| 11
|
Global convergence of maml and theory-inspired neural architecture search for few-shot learning
|
https://scholar.google.com/scholar?cluster=14137481107584919193&hl=en&as_sdt=0,47
| 3
| 2,022
|
Knowledge Distillation: A Good Teacher Is Patient and Consistent
| 103
|
cvpr
| 58
| 6
|
2023-06-03 15:13:00.228000
|
https://github.com/google-research/big_vision
| 878
|
Knowledge distillation: A good teacher is patient and consistent
|
https://scholar.google.com/scholar?cluster=12041530417862145268&hl=en&as_sdt=0,5
| 23
| 2,022
|
No Pain, Big Gain: Classify Dynamic Point Cloud Sequences With Static Models by Fitting Feature-Level Space-Time Surfaces
| 4
|
cvpr
| 0
| 0
|
2023-06-03 15:13:00.422000
|
https://github.com/jx-zhong-for-academic-purpose/kinet
| 18
|
No pain, big gain: classify dynamic point cloud sequences with static models by fitting feature-level space-time surfaces
|
https://scholar.google.com/scholar?cluster=14397724581913029354&hl=en&as_sdt=0,5
| 8
| 2,022
|
Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation
| 35
|
cvpr
| 3
| 1
|
2023-06-03 15:13:00.625000
|
https://github.com/qymeng94/dsr
| 30
|
Training high-performance low-latency spiking neural networks by differentiation on spike representation
|
https://scholar.google.com/scholar?cluster=3967951227165330050&hl=en&as_sdt=0,5
| 1
| 2,022
|
HiVT: Hierarchical Vector Transformer for Multi-Agent Motion Prediction
| 25
|
cvpr
| 79
| 6
|
2023-06-03 15:13:00.819000
|
https://github.com/ZikangZhou/HiVT
| 426
|
Hivt: Hierarchical vector transformer for multi-agent motion prediction
|
https://scholar.google.com/scholar?cluster=3886543382399789682&hl=en&as_sdt=0,33
| 33
| 2,022
|
Scribble-Supervised LiDAR Semantic Segmentation
| 24
|
cvpr
| 17
| 0
|
2023-06-03 15:13:01.013000
|
https://github.com/ouenal/scribblekitti
| 118
|
Scribble-supervised lidar semantic segmentation
|
https://scholar.google.com/scholar?cluster=13978048439602258574&hl=en&as_sdt=0,10
| 11
| 2,022
|
Structured Sparse R-CNN for Direct Scene Graph Generation
| 17
|
cvpr
| 1
| 0
|
2023-06-03 15:13:01.208000
|
https://github.com/mcg-nju/structured-sparse-rcnn
| 48
|
Structured sparse r-cnn for direct scene graph generation
|
https://scholar.google.com/scholar?cluster=3862789668091273745&hl=en&as_sdt=0,5
| 2
| 2,022
|
Vision Transformer Slimming: Multi-Dimension Searching in Continuous Optimization Space
| 22
|
cvpr
| 10
| 2
|
2023-06-03 15:13:01.403000
|
https://github.com/arnav0400/vit-slim
| 70
|
Vision transformer slimming: Multi-dimension searching in continuous optimization space
|
https://scholar.google.com/scholar?cluster=11243993643991610263&hl=en&as_sdt=0,5
| 5
| 2,022
|
Implicit Sample Extension for Unsupervised Person Re-Identification
| 22
|
cvpr
| 1,087
| 190
|
2023-06-03 15:13:01.598000
|
https://github.com/PaddlePaddle/PaddleClas
| 4,860
|
Implicit sample extension for unsupervised person re-identification
|
https://scholar.google.com/scholar?cluster=11097071489515751336&hl=en&as_sdt=0,11
| 73
| 2,022
|
Label, Verify, Correct: A Simple Few Shot Object Detection Method
| 31
|
cvpr
| 12
| 13
|
2023-06-03 15:13:01.793000
|
https://github.com/prannaykaul/lvc
| 67
|
Label, verify, correct: A simple few shot object detection method
|
https://scholar.google.com/scholar?cluster=15981199466446115851&hl=en&as_sdt=0,7
| 3
| 2,022
|
Energy-Based Latent Aligner for Incremental Learning
| 19
|
cvpr
| 7
| 0
|
2023-06-03 15:13:01.988000
|
https://github.com/josephkj/eli
| 39
|
Energy-based latent aligner for incremental learning
|
https://scholar.google.com/scholar?cluster=7831440552872014227&hl=en&as_sdt=0,14
| 3
| 2,022
|
Autoregressive Image Generation Using Residual Quantization
| 44
|
cvpr
| 65
| 8
|
2023-06-03 15:13:02.182000
|
https://github.com/kakaobrain/rq-vae-transformer
| 566
|
Autoregressive image generation using residual quantization
|
https://scholar.google.com/scholar?cluster=5953877530421044413&hl=en&as_sdt=0,10
| 15
| 2,022
|
Learning To Estimate Robust 3D Human Mesh From In-the-Wild Crowded Scenes
| 18
|
cvpr
| 11
| 13
|
2023-06-03 15:13:02.380000
|
https://github.com/hongsukchoi/3dcrowdnet_release
| 124
|
Learning to estimate robust 3D human mesh from in-the-wild crowded scenes
|
https://scholar.google.com/scholar?cluster=2094586402537632937&hl=en&as_sdt=0,5
| 9
| 2,022
|
HL-Net: Heterophily Learning Network for Scene Graph Generation
| 13
|
cvpr
| 1
| 2
|
2023-06-03 15:13:02.575000
|
https://github.com/siml3/hl-net
| 8
|
HL-Net: Heterophily learning network for scene graph generation
|
https://scholar.google.com/scholar?cluster=6746926126987228342&hl=en&as_sdt=0,11
| 1
| 2,022
|
TeachAugment: Data Augmentation Optimization Using Teacher Knowledge
| 16
|
cvpr
| 13
| 0
|
2023-06-03 15:13:02.769000
|
https://github.com/DensoITLab/TeachAugment
| 57
|
Teachaugment: Data augmentation optimization using teacher knowledge
|
https://scholar.google.com/scholar?cluster=8610314008643441319&hl=en&as_sdt=0,36
| 4
| 2,022
|
Towards Semi-Supervised Deep Facial Expression Recognition With an Adaptive Confidence Margin
| 22
|
cvpr
| 5
| 3
|
2023-06-03 15:13:02.964000
|
https://github.com/hangyu94/ada-cm
| 46
|
Towards semi-supervised deep facial expression recognition with an adaptive confidence margin
|
https://scholar.google.com/scholar?cluster=2363323039551556812&hl=en&as_sdt=0,7
| 1
| 2,022
|
Group R-CNN for Weakly Semi-Supervised Object Detection With Points
| 11
|
cvpr
| 11
| 5
|
2023-06-03 15:13:03.158000
|
https://github.com/jshilong/grouprcnn
| 132
|
Group R-CNN for weakly semi-supervised object detection with points
|
https://scholar.google.com/scholar?cluster=5091840667952394824&hl=en&as_sdt=0,5
| 5
| 2,022
|
Weakly Supervised Temporal Sentence Grounding With Gaussian-Based Contrastive Proposal Learning
| 17
|
cvpr
| 3
| 2
|
2023-06-03 15:13:03.352000
|
https://github.com/minghangz/cpl
| 32
|
Weakly Supervised Temporal Sentence Grounding with Gaussian-based Contrastive Proposal Learning
|
https://scholar.google.com/scholar?cluster=16465723860400402568&hl=en&as_sdt=0,5
| 2
| 2,022
|
A Conservative Approach for Unbiased Learning on Unknown Biases
| 6
|
cvpr
| 1
| 1
|
2023-06-03 15:13:03.547000
|
https://github.com/aandyjeon/ubnet
| 23
|
A conservative approach for unbiased learning on unknown biases
|
https://scholar.google.com/scholar?cluster=5903607608052787146&hl=en&as_sdt=0,21
| 1
| 2,022
|
Masked-Attention Mask Transformer for Universal Image Segmentation
| 364
|
cvpr
| 274
| 118
|
2023-06-03 15:13:03.741000
|
https://github.com/facebookresearch/Mask2Former
| 1,524
|
Masked-attention mask transformer for universal image segmentation
|
https://scholar.google.com/scholar?cluster=10375739191012965737&hl=en&as_sdt=0,6
| 27
| 2,022
|
Weakly-Supervised Action Transition Learning for Stochastic Human Motion Prediction
| 11
|
cvpr
| 3
| 3
|
2023-06-03 15:13:03.936000
|
https://github.com/wei-mao-2019/wat
| 34
|
Weakly-supervised action transition learning for stochastic human motion prediction
|
https://scholar.google.com/scholar?cluster=3476343182791072133&hl=en&as_sdt=0,5
| 1
| 2,022
|
Task-Specific Inconsistency Alignment for Domain Adaptive Object Detection
| 14
|
cvpr
| 3
| 5
|
2023-06-03 15:13:04.130000
|
https://github.com/mcg-nju/tia
| 31
|
Task-specific inconsistency alignment for domain adaptive object detection
|
https://scholar.google.com/scholar?cluster=7513023529480256736&hl=en&as_sdt=0,24
| 4
| 2,022
|
Large-Scale Video Panoptic Segmentation in the Wild: A Benchmark
| 18
|
cvpr
| 6
| 2
|
2023-06-03 15:13:04.325000
|
https://github.com/vipseg-dataset/vipseg-dataset
| 105
|
Large-scale video panoptic segmentation in the wild: A benchmark
|
https://scholar.google.com/scholar?cluster=567776318564767438&hl=en&as_sdt=0,5
| 2
| 2,022
|
Language-Bridged Spatial-Temporal Interaction for Referring Video Object Segmentation
| 7
|
cvpr
| 2
| 0
|
2023-06-03 15:13:04.519000
|
https://github.com/dzh19990407/lbdt
| 19
|
Language-bridged spatial-temporal interaction for referring video object segmentation
|
https://scholar.google.com/scholar?cluster=6573116128933368170&hl=en&as_sdt=0,5
| 1
| 2,022
|
GrainSpace: A Large-Scale Dataset for Fine-Grained and Domain-Adaptive Recognition of Cereal Grains
| 1
|
cvpr
| 1
| 1
|
2023-06-03 15:13:04.713000
|
https://github.com/hellodfan/grainspace
| 6
|
GrainSpace: A Large-scale Dataset for Fine-grained and Domain-adaptive Recognition of Cereal Grains
|
https://scholar.google.com/scholar?cluster=11520823297240729054&hl=en&as_sdt=0,5
| 2
| 2,022
|
BokehMe: When Neural Rendering Meets Classical Rendering
| 10
|
cvpr
| 4
| 1
|
2023-06-03 15:13:04.916000
|
https://github.com/juewenpeng/bokehme
| 140
|
BokehMe: When neural rendering meets classical rendering
|
https://scholar.google.com/scholar?cluster=11129971862430927906&hl=en&as_sdt=0,11
| 3
| 2,022
|
Whose Hands Are These? Hand Detection and Hand-Body Association in the Wild
| 9
|
cvpr
| 5
| 1
|
2023-06-03 15:13:05.111000
|
https://github.com/cvlab-stonybrook/BodyHands
| 53
|
Whose hands are these? hand detection and hand-body association in the wild
|
https://scholar.google.com/scholar?cluster=2993714044954142948&hl=en&as_sdt=0,14
| 6
| 2,022
|
Learning Modal-Invariant and Temporal-Memory for Video-Based Visible-Infrared Person Re-Identification
| 5
|
cvpr
| 4
| 2
|
2023-06-03 15:13:05.322000
|
https://github.com/vcm-project233/mitml
| 24
|
Learning Modal-Invariant and Temporal-Memory for Video-based Visible-Infrared Person Re-Identification
|
https://scholar.google.com/scholar?cluster=6715456311955986100&hl=en&as_sdt=0,5
| 2
| 2,022
|
What Matters for Meta-Learning Vision Regression Tasks?
| 11
|
cvpr
| 5
| 0
|
2023-06-03 15:13:05.520000
|
https://github.com/boschresearch/what-matters-for-meta-learning
| 17
|
What Matters For Meta-Learning Vision Regression Tasks?
|
https://scholar.google.com/scholar?cluster=13546300489255251342&hl=en&as_sdt=0,44
| 3
| 2,022
|
Cross Domain Object Detection by Target-Perceived Dual Branch Distillation
| 14
|
cvpr
| 2
| 8
|
2023-06-03 15:13:05.714000
|
https://github.com/feobi1999/tdd
| 28
|
Cross domain object detection by target-perceived dual branch distillation
|
https://scholar.google.com/scholar?cluster=2857882908165147607&hl=en&as_sdt=0,33
| 1
| 2,022
|
Video Swin Transformer
| 579
|
cvpr
| 182
| 61
|
2023-06-03 15:13:05.909000
|
https://github.com/SwinTransformer/Video-Swin-Transformer
| 1,131
|
Video swin transformer
|
https://scholar.google.com/scholar?cluster=5833041667751260373&hl=en&as_sdt=0,33
| 9
| 2,022
|
Overcoming Catastrophic Forgetting in Incremental Object Detection via Elastic Response Distillation
| 19
|
cvpr
| 5
| 10
|
2023-06-03 15:13:06.103000
|
https://github.com/hi-ft/erd
| 40
|
Overcoming catastrophic forgetting in incremental object detection via elastic response distillation
|
https://scholar.google.com/scholar?cluster=1433907519873386658&hl=en&as_sdt=0,33
| 1
| 2,022
|
Frequency-Driven Imperceptible Adversarial Attack on Semantic Similarity
| 12
|
cvpr
| 9
| 3
|
2023-06-03 15:13:06.301000
|
https://github.com/LinQinLiang/SSAH-adversarial-attack
| 32
|
Frequency-driven imperceptible adversarial attack on semantic similarity
|
https://scholar.google.com/scholar?cluster=17065701980780256748&hl=en&as_sdt=0,33
| 0
| 2,022
|
BoxeR: Box-Attention for 2D and 3D Transformers
| 12
|
cvpr
| 18
| 6
|
2023-06-03 15:13:06.506000
|
https://github.com/kienduynguyen/boxer
| 121
|
Boxer: Box-attention for 2d and 3d transformers
|
https://scholar.google.com/scholar?cluster=1805226328438105949&hl=en&as_sdt=0,11
| 4
| 2,022
|
GroupNet: Multiscale Hypergraph Neural Networks for Trajectory Prediction With Relational Reasoning
| 19
|
cvpr
| 16
| 3
|
2023-06-03 15:13:06.700000
|
https://github.com/mediabrain-sjtu/groupnet
| 69
|
Groupnet: Multiscale hypergraph neural networks for trajectory prediction with relational reasoning
|
https://scholar.google.com/scholar?cluster=4430607748119163601&hl=en&as_sdt=0,5
| 1
| 2,022
|
ZZ-Net: A Universal Rotation Equivariant Architecture for 2D Point Clouds
| 9
|
cvpr
| 0
| 0
|
2023-06-03 15:13:06.895000
|
https://github.com/georg-bn/zz-net
| 3
|
Zz-net: A universal rotation equivariant architecture for 2d point clouds
|
https://scholar.google.com/scholar?cluster=14073603853135717915&hl=en&as_sdt=0,5
| 2
| 2,022
|
SVIP: Sequence VerIfication for Procedures in Videos
| 6
|
cvpr
| 2
| 3
|
2023-06-03 15:13:07.089000
|
https://github.com/svip-lab/SVIP-Sequence-VerIfication-for-Procedures-in-Videos
| 17
|
SVIP: Sequence VerIfication for Procedures in Videos
|
https://scholar.google.com/scholar?cluster=1027862013166223118&hl=en&as_sdt=0,5
| 2
| 2,022
|
Unbiased Subclass Regularization for Semi-Supervised Semantic Segmentation
| 13
|
cvpr
| 3
| 4
|
2023-06-03 15:13:07.283000
|
https://github.com/dayan-guan/usrn
| 24
|
Unbiased subclass regularization for semi-supervised semantic segmentation
|
https://scholar.google.com/scholar?cluster=9582218535208088942&hl=en&as_sdt=0,5
| 1
| 2,022
|
Coupled Iterative Refinement for 6D Multi-Object Pose Estimation
| 15
|
cvpr
| 14
| 4
|
2023-06-03 15:13:07.477000
|
https://github.com/princeton-vl/coupled-iterative-refinement
| 73
|
Coupled iterative refinement for 6D multi-object pose estimation
|
https://scholar.google.com/scholar?cluster=11571991360126090293&hl=en&as_sdt=0,14
| 8
| 2,022
|
Hierarchical Nearest Neighbor Graph Embedding for Efficient Dimensionality Reduction
| 5
|
cvpr
| 3
| 3
|
2023-06-03 15:13:07.671000
|
https://github.com/koulakis/h-nne
| 36
|
Hierarchical nearest neighbor graph embedding for efficient dimensionality reduction
|
https://scholar.google.com/scholar?cluster=11819915220514598721&hl=en&as_sdt=0,23
| 3
| 2,022
|
Decoupling Zero-Shot Semantic Segmentation
| 45
|
cvpr
| 3
| 4
|
2023-06-03 15:13:07.865000
|
https://github.com/dingjiansw101/zegformer
| 136
|
Decoupling zero-shot semantic segmentation
|
https://scholar.google.com/scholar?cluster=14815843761254993307&hl=en&as_sdt=0,5
| 9
| 2,022
|
Neural Emotion Director: Speech-Preserving Semantic Control of Facial Expressions in "In-the-Wild" Videos
| 4
|
cvpr
| 18
| 5
|
2023-06-03 15:13:08.060000
|
https://github.com/foivospar/NED
| 111
|
Neural Emotion Director: Speech-Preserving Semantic Control of Facial Expressions in" In-the-Wild" Videos
|
https://scholar.google.com/scholar?cluster=18047484222356560316&hl=en&as_sdt=0,5
| 6
| 2,022
|
PCA-Based Knowledge Distillation Towards Lightweight and Content-Style Balanced Photorealistic Style Transfer Models
| 8
|
cvpr
| 1
| 0
|
2023-06-03 15:13:08.254000
|
https://github.com/chiutaiyin/pca-knowledge-distillation
| 12
|
PCA-based knowledge distillation towards lightweight and content-style balanced photorealistic style transfer models
|
https://scholar.google.com/scholar?cluster=383904189920752008&hl=en&as_sdt=0,5
| 2
| 2,022
|
Transformer Tracking With Cyclic Shifting Window Attention
| 19
|
cvpr
| 6
| 8
|
2023-06-03 15:13:08.448000
|
https://github.com/skyesong38/cswintt
| 49
|
Transformer tracking with cyclic shifting window attention
|
https://scholar.google.com/scholar?cluster=12734796414080676153&hl=en&as_sdt=0,33
| 3
| 2,022
|
Stochastic Variance Reduced Ensemble Adversarial Attack for Boosting the Adversarial Transferability
| 17
|
cvpr
| 3
| 2
|
2023-06-03 15:13:08.642000
|
https://github.com/jhl-hust/svre
| 18
|
Stochastic variance reduced ensemble adversarial attack for boosting the adversarial transferability
|
https://scholar.google.com/scholar?cluster=6215208880030340350&hl=en&as_sdt=0,5
| 1
| 2,022
|
Unknown-Aware Object Detection: Learning What You Don't Know From Videos in the Wild
| 26
|
cvpr
| 11
| 0
|
2023-06-03 15:13:08.837000
|
https://github.com/deeplearning-wisc/stud
| 95
|
Unknown-Aware Object Detection: Learning What You Don't Know from Videos in the Wild
|
https://scholar.google.com/scholar?cluster=18001485986532838919&hl=en&as_sdt=0,5
| 4
| 2,022
|
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