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|---|---|---|---|---|---|---|---|---|---|---|---|
Panoptic SegFormer: Delving Deeper Into Panoptic Segmentation With Transformers
| 38
|
cvpr
| 28
| 8
|
2023-06-03 15:13:09.031000
|
https://github.com/zhiqi-li/Panoptic-SegFormer
| 174
|
Panoptic segformer: Delving deeper into panoptic segmentation with transformers
|
https://scholar.google.com/scholar?cluster=11135517644142739642&hl=en&as_sdt=0,44
| 4
| 2,022
|
Towards Understanding Adversarial Robustness of Optical Flow Networks
| 7
|
cvpr
| 3
| 0
|
2023-06-03 15:13:09.226000
|
https://github.com/lmb-freiburg/understanding_flow_robustness
| 8
|
Towards understanding adversarial robustness of optical flow networks
|
https://scholar.google.com/scholar?cluster=12225060266995149980&hl=en&as_sdt=0,4
| 4
| 2,022
|
Hypergraph-Induced Semantic Tuplet Loss for Deep Metric Learning
| 9
|
cvpr
| 3
| 2
|
2023-06-03 15:13:09.422000
|
https://github.com/ljin0429/hist
| 13
|
Hypergraph-induced semantic tuplet loss for deep metric learning
|
https://scholar.google.com/scholar?cluster=15475244425319619070&hl=en&as_sdt=0,5
| 1
| 2,022
|
Unsupervised Representation Learning for Binary Networks by Joint Classifier Learning
| 2
|
cvpr
| 1
| 0
|
2023-06-03 15:13:09.616000
|
https://github.com/naver-ai/burn
| 10
|
Unsupervised representation learning for binary networks by joint classifier learning
|
https://scholar.google.com/scholar?cluster=11918637577590771091&hl=en&as_sdt=0,10
| 1
| 2,022
|
Computing Wasserstein-p Distance Between Images With Linear Cost
| 4
|
cvpr
| 1
| 1
|
2023-06-03 15:13:09.810000
|
https://github.com/ucascnic/cudaot
| 47
|
Computing Wasserstein-p Distance Between Images with Linear Cost
|
https://scholar.google.com/scholar?cluster=15704609829457034992&hl=en&as_sdt=0,34
| 1
| 2,022
|
Investigating Tradeoffs in Real-World Video Super-Resolution
| 28
|
cvpr
| 103
| 34
|
2023-06-03 15:13:10.005000
|
https://github.com/ckkelvinchan/realbasicvsr
| 666
|
Investigating tradeoffs in real-world video super-resolution
|
https://scholar.google.com/scholar?cluster=12914353721061047169&hl=en&as_sdt=0,33
| 13
| 2,022
|
Differentiable Stereopsis: Meshes From Multiple Views Using Differentiable Rendering
| 11
|
cvpr
| 6
| 2
|
2023-06-03 15:13:10.200000
|
https://github.com/shubham-goel/ds
| 63
|
Differentiable Stereopsis: Meshes from multiple views using differentiable rendering
|
https://scholar.google.com/scholar?cluster=12089062565847805968&hl=en&as_sdt=0,5
| 13
| 2,022
|
TopFormer: Token Pyramid Transformer for Mobile Semantic Segmentation
| 43
|
cvpr
| 38
| 20
|
2023-06-03 15:13:10.394000
|
https://github.com/hustvl/TopFormer
| 314
|
TopFormer: Token pyramid transformer for mobile semantic segmentation
|
https://scholar.google.com/scholar?cluster=4250030993072671612&hl=en&as_sdt=0,39
| 8
| 2,022
|
The Devil Is in the Labels: Noisy Label Correction for Robust Scene Graph Generation
| 25
|
cvpr
| 1
| 0
|
2023-06-03 15:13:10.589000
|
https://github.com/muktilin/nice
| 18
|
The devil is in the labels: Noisy label correction for robust scene graph generation
|
https://scholar.google.com/scholar?cluster=13903966642474117404&hl=en&as_sdt=0,18
| 1
| 2,022
|
High Quality Segmentation for Ultra High-Resolution Images
| 8
|
cvpr
| 42
| 18
|
2023-06-03 15:13:10.783000
|
https://github.com/dvlab-research/Entity
| 443
|
High quality segmentation for ultra high-resolution images
|
https://scholar.google.com/scholar?cluster=1606621854462362861&hl=en&as_sdt=0,21
| 20
| 2,022
|
Global Tracking via Ensemble of Local Trackers
| 7
|
cvpr
| 0
| 2
|
2023-06-03 15:13:10.977000
|
https://github.com/zikunzhou/gtelt
| 13
|
Global tracking via ensemble of local trackers
|
https://scholar.google.com/scholar?cluster=7160061588239539027&hl=en&as_sdt=0,5
| 4
| 2,022
|
3DAC: Learning Attribute Compression for Point Clouds
| 10
|
cvpr
| 2
| 0
|
2023-06-03 15:13:11.171000
|
https://github.com/fatPeter/ThreeDAC
| 10
|
3dac: Learning attribute compression for point clouds
|
https://scholar.google.com/scholar?cluster=13998291749300738323&hl=en&as_sdt=0,31
| 2
| 2,022
|
LAVT: Language-Aware Vision Transformer for Referring Image Segmentation
| 47
|
cvpr
| 9
| 1
|
2023-06-03 15:13:11.366000
|
https://github.com/yz93/lavt-ris
| 124
|
Lavt: Language-aware vision transformer for referring image segmentation
|
https://scholar.google.com/scholar?cluster=10996452673462236592&hl=en&as_sdt=0,14
| 3
| 2,022
|
Aesthetic Text Logo Synthesis via Content-Aware Layout Inferring
| 5
|
cvpr
| 33
| 9
|
2023-06-03 15:13:11.561000
|
https://github.com/yizhiwang96/textlogolayout
| 222
|
Aesthetic text logo synthesis via content-aware layout inferring
|
https://scholar.google.com/scholar?cluster=9299651509951295587&hl=en&as_sdt=0,5
| 7
| 2,022
|
Video Demoireing With Relation-Based Temporal Consistency
| 3
|
cvpr
| 10
| 3
|
2023-06-03 15:13:11.755000
|
https://github.com/CVMI-Lab/VideoDemoireing
| 57
|
Video Demoireing With Relation-Based Temporal Consistency
|
https://scholar.google.com/scholar?cluster=14408025049447784264&hl=en&as_sdt=0,10
| 2
| 2,022
|
Oriented RepPoints for Aerial Object Detection
| 62
|
cvpr
| 43
| 28
|
2023-06-03 15:13:11.949000
|
https://github.com/LiWentomng/OrientedRepPoints
| 229
|
Oriented reppoints for aerial object detection
|
https://scholar.google.com/scholar?cluster=1528825781662204302&hl=en&as_sdt=0,5
| 5
| 2,022
|
MSDN: Mutually Semantic Distillation Network for Zero-Shot Learning
| 29
|
cvpr
| 3
| 9
|
2023-06-03 15:13:12.144000
|
https://github.com/shiming-chen/msdn
| 44
|
Msdn: Mutually semantic distillation network for zero-shot learning
|
https://scholar.google.com/scholar?cluster=15021999470702813013&hl=en&as_sdt=0,39
| 4
| 2,022
|
MixSTE: Seq2seq Mixed Spatio-Temporal Encoder for 3D Human Pose Estimation in Video
| 41
|
cvpr
| 8
| 22
|
2023-06-03 15:13:12.338000
|
https://github.com/JinluZhang1126/MixSTE
| 126
|
Mixste: Seq2seq mixed spatio-temporal encoder for 3d human pose estimation in video
|
https://scholar.google.com/scholar?cluster=10669263595390628750&hl=en&as_sdt=0,22
| 20
| 2,022
|
OccAM's Laser: Occlusion-Based Attribution Maps for 3D Object Detectors on LiDAR Data
| 4
|
cvpr
| 5
| 1
|
2023-06-03 15:13:12.532000
|
https://github.com/dschinagl/occam
| 31
|
OccAM's Laser: Occlusion-based Attribution Maps for 3D Object Detectors on LiDAR Data
|
https://scholar.google.com/scholar?cluster=15765380783034039691&hl=en&as_sdt=0,15
| 3
| 2,022
|
MS2DG-Net: Progressive Correspondence Learning via Multiple Sparse Semantics Dynamic Graph
| 11
|
cvpr
| 0
| 2
|
2023-06-03 15:13:12.739000
|
https://github.com/changcaiyang/ms2dg-net
| 3
|
MS2DG-Net: Progressive correspondence learning via multiple sparse semantics dynamic graph
|
https://scholar.google.com/scholar?cluster=946237664573591912&hl=en&as_sdt=0,40
| 1
| 2,022
|
DeepCurrents: Learning Implicit Representations of Shapes With Boundaries
| 3
|
cvpr
| 2
| 0
|
2023-06-03 15:13:12.933000
|
https://github.com/dmsm/DeepCurrents
| 39
|
DeepCurrents: Learning Implicit Representations of Shapes with Boundaries
|
https://scholar.google.com/scholar?cluster=5989790284022450801&hl=en&as_sdt=0,44
| 4
| 2,022
|
Sparse Fuse Dense: Towards High Quality 3D Detection With Depth Completion
| 48
|
cvpr
| 31
| 29
|
2023-06-03 15:13:13.127000
|
https://github.com/LittlePey/SFD
| 221
|
Sparse fuse dense: Towards high quality 3d detection with depth completion
|
https://scholar.google.com/scholar?cluster=4337309210814836516&hl=en&as_sdt=0,5
| 4
| 2,022
|
High-Fidelity GAN Inversion for Image Attribute Editing
| 109
|
cvpr
| 44
| 10
|
2023-06-03 15:13:13.321000
|
https://github.com/Tengfei-Wang/HFGI
| 405
|
High-fidelity gan inversion for image attribute editing
|
https://scholar.google.com/scholar?cluster=9509221732364572204&hl=en&as_sdt=0,36
| 32
| 2,022
|
Meta Distribution Alignment for Generalizable Person Re-Identification
| 7
|
cvpr
| 2
| 1
|
2023-06-03 15:13:13.516000
|
https://github.com/haoni0812/mda
| 12
|
Meta distribution alignment for generalizable person re-identification
|
https://scholar.google.com/scholar?cluster=11619394144328926429&hl=en&as_sdt=0,33
| 5
| 2,022
|
MaskGIT: Masked Generative Image Transformer
| 95
|
cvpr
| 33
| 9
|
2023-06-03 15:13:13.710000
|
https://github.com/google-research/maskgit
| 267
|
Maskgit: Masked generative image transformer
|
https://scholar.google.com/scholar?cluster=6249368678331828868&hl=en&as_sdt=0,5
| 15
| 2,022
|
Instance-Aware Dynamic Neural Network Quantization
| 3
|
cvpr
| 131
| 3
|
2023-06-03 15:13:13.904000
|
https://github.com/huawei-noah/Efficient-Computing
| 593
|
Instance-aware dynamic neural network quantization
|
https://scholar.google.com/scholar?cluster=3797816427904047286&hl=en&as_sdt=0,33
| 18
| 2,022
|
All-in-One Image Restoration for Unknown Corruption
| 40
|
cvpr
| 12
| 4
|
2023-06-03 15:13:14.099000
|
https://github.com/xlearning-scu/2022-cvpr-airnet
| 83
|
All-in-one image restoration for unknown corruption
|
https://scholar.google.com/scholar?cluster=10807347079650485654&hl=en&as_sdt=0,5
| 2
| 2,022
|
Selective-Supervised Contrastive Learning With Noisy Labels
| 39
|
cvpr
| 13
| 5
|
2023-06-03 15:13:14.293000
|
https://github.com/shikunli/sel-cl
| 74
|
Selective-supervised contrastive learning with noisy labels
|
https://scholar.google.com/scholar?cluster=7191762310287055252&hl=en&as_sdt=0,5
| 2
| 2,022
|
Optimizing Video Prediction via Video Frame Interpolation
| 9
|
cvpr
| 6
| 0
|
2023-06-03 15:13:14.492000
|
https://github.com/YueWuHKUST/CVPR2022-Optimizing-Video-Prediction-via-Video-Frame-Interpolation
| 34
|
Optimizing video prediction via video frame interpolation
|
https://scholar.google.com/scholar?cluster=12432696605609230243&hl=en&as_sdt=0,5
| 2
| 2,022
|
Plenoxels: Radiance Fields Without Neural Networks
| 176
|
cvpr
| 335
| 74
|
2023-06-03 15:13:14.686000
|
https://github.com/sxyu/svox2
| 2,517
|
Plenoxels: Radiance fields without neural networks
|
https://scholar.google.com/scholar?cluster=6850809471978145917&hl=en&as_sdt=0,5
| 52
| 2,022
|
SimT: Handling Open-Set Noise for Domain Adaptive Semantic Segmentation
| 8
|
cvpr
| 6
| 1
|
2023-06-03 15:13:14.880000
|
https://github.com/cityu-aim-group/simt
| 20
|
Simt: handling open-set noise for domain adaptive semantic segmentation
|
https://scholar.google.com/scholar?cluster=9175191664302585452&hl=en&as_sdt=0,1
| 2
| 2,022
|
Exploring Effective Data for Surrogate Training Towards Black-Box Attack
| 9
|
cvpr
| 1
| 1
|
2023-06-03 15:13:15.074000
|
https://github.com/xuxiangsun/st-data
| 10
|
Exploring effective data for surrogate training towards black-box attack
|
https://scholar.google.com/scholar?cluster=17446865475002756909&hl=en&as_sdt=0,19
| 2
| 2,022
|
Continual Stereo Matching of Continuous Driving Scenes With Growing Architecture
| 4
|
cvpr
| 0
| 0
|
2023-06-03 15:13:15.269000
|
https://github.com/chzhang18/rag
| 7
|
Continual Stereo Matching of Continuous Driving Scenes With Growing Architecture
|
https://scholar.google.com/scholar?cluster=13199977113410529761&hl=en&as_sdt=0,44
| 1
| 2,022
|
PLAD: Learning To Infer Shape Programs With Pseudo-Labels and Approximate Distributions
| 3
|
cvpr
| 0
| 0
|
2023-06-03 15:13:15.463000
|
https://github.com/rkjones4/plad
| 4
|
PLAD: Learning to infer shape programs with pseudo-labels and approximate distributions
|
https://scholar.google.com/scholar?cluster=2527616327110809598&hl=en&as_sdt=0,5
| 2
| 2,022
|
C2AM: Contrastive Learning of Class-Agnostic Activation Map for Weakly Supervised Object Localization and Semantic Segmentation
| 23
|
cvpr
| 12
| 5
|
2023-06-03 15:13:15.659000
|
https://github.com/cvi-szu/ccam
| 137
|
C2AM: contrastive learning of class-agnostic activation map for weakly supervised object localization and semantic segmentation
|
https://scholar.google.com/scholar?cluster=4112010978532867161&hl=en&as_sdt=0,5
| 5
| 2,022
|
PTTR: Relational 3D Point Cloud Object Tracking With Transformer
| 34
|
cvpr
| 8
| 11
|
2023-06-03 15:13:15.853000
|
https://github.com/jasonkks/pttr
| 98
|
Pttr: Relational 3d point cloud object tracking with transformer
|
https://scholar.google.com/scholar?cluster=6998636134614144247&hl=en&as_sdt=0,33
| 8
| 2,022
|
A Self-Supervised Descriptor for Image Copy Detection
| 10
|
cvpr
| 10
| 1
|
2023-06-03 15:13:16.047000
|
https://github.com/facebookresearch/sscd-copy-detection
| 121
|
A self-supervised descriptor for image copy detection
|
https://scholar.google.com/scholar?cluster=7715635298413748060&hl=en&as_sdt=0,31
| 6
| 2,022
|
Industrial Style Transfer With Large-Scale Geometric Warping and Content Preservation
| 2
|
cvpr
| 6
| 4
|
2023-06-03 15:13:16.241000
|
https://github.com/jcyang98/inst
| 39
|
Industrial style transfer with large-scale geometric warping and content preservation
|
https://scholar.google.com/scholar?cluster=802240836888971183&hl=en&as_sdt=0,10
| 3
| 2,022
|
Modeling Image Composition for Complex Scene Generation
| 18
|
cvpr
| 0
| 5
|
2023-06-03 15:13:16.436000
|
https://github.com/johndreamer/twfa
| 7
|
Modeling image composition for complex scene generation
|
https://scholar.google.com/scholar?cluster=16853523309090667212&hl=en&as_sdt=0,5
| 1
| 2,022
|
Negative-Aware Attention Framework for Image-Text Matching
| 28
|
cvpr
| 8
| 6
|
2023-06-03 15:13:16.630000
|
https://github.com/crossmodalgroup/naaf
| 74
|
Negative-aware attention framework for image-text matching
|
https://scholar.google.com/scholar?cluster=17580877734718681453&hl=en&as_sdt=0,34
| 1
| 2,022
|
On the Importance of Asymmetry for Siamese Representation Learning
| 22
|
cvpr
| 5
| 0
|
2023-06-03 15:13:16.824000
|
https://github.com/facebookresearch/asym-siam
| 90
|
On the importance of asymmetry for siamese representation learning
|
https://scholar.google.com/scholar?cluster=11575843394769845742&hl=en&as_sdt=0,23
| 10
| 2,022
|
Paramixer: Parameterizing Mixing Links in Sparse Factors Works Better Than Dot-Product Self-Attention
| 1
|
cvpr
| 0
| 0
|
2023-06-03 15:13:17.019000
|
https://github.com/wiedersehne/paramixer
| 16
|
Paramixer: Parameterizing mixing links in sparse factors works better than dot-product self-attention
|
https://scholar.google.com/scholar?cluster=4581359001664044296&hl=en&as_sdt=0,3
| 2
| 2,022
|
An Image Patch Is a Wave: Phase-Aware Vision MLP
| 44
|
cvpr
| 648
| 59
|
2023-06-03 15:13:17.213000
|
https://github.com/huawei-noah/CV-backbones
| 3,301
|
An image patch is a wave: Phase-aware vision mlp
|
https://scholar.google.com/scholar?cluster=7355726372164978103&hl=en&as_sdt=0,44
| 47
| 2,022
|
Pseudo-Stereo for Monocular 3D Object Detection in Autonomous Driving
| 18
|
cvpr
| 11
| 3
|
2023-06-03 15:13:17.408000
|
https://github.com/revisitq/Pseudo-Stereo-3D
| 65
|
Pseudo-stereo for monocular 3d object detection in autonomous driving
|
https://scholar.google.com/scholar?cluster=1891144391570964122&hl=en&as_sdt=0,23
| 8
| 2,022
|
Shunted Self-Attention via Multi-Scale Token Aggregation
| 54
|
cvpr
| 20
| 20
|
2023-06-03 15:13:17.601000
|
https://github.com/oliverrensu/shunted-transformer
| 184
|
Shunted self-attention via multi-scale token aggregation
|
https://scholar.google.com/scholar?cluster=8471894567270514506&hl=en&as_sdt=0,5
| 5
| 2,022
|
DenseCLIP: Language-Guided Dense Prediction With Context-Aware Prompting
| 144
|
cvpr
| 26
| 4
|
2023-06-03 15:13:17.796000
|
https://github.com/raoyongming/denseclip
| 392
|
Denseclip: Language-guided dense prediction with context-aware prompting
|
https://scholar.google.com/scholar?cluster=12719486318898360519&hl=en&as_sdt=0,5
| 3
| 2,022
|
Templates for 3D Object Pose Estimation Revisited: Generalization to New Objects and Robustness to Occlusions
| 17
|
cvpr
| 10
| 3
|
2023-06-03 15:13:17.990000
|
https://github.com/nv-nguyen/template-pose
| 107
|
Templates for 3D object pose estimation revisited: generalization to new objects and robustness to occlusions
|
https://scholar.google.com/scholar?cluster=474175578152573031&hl=en&as_sdt=0,5
| 4
| 2,022
|
Shadows Can Be Dangerous: Stealthy and Effective Physical-World Adversarial Attack by Natural Phenomenon
| 37
|
cvpr
| 3
| 4
|
2023-06-03 15:13:18.184000
|
https://github.com/hncszyq/ShadowAttack
| 39
|
Shadows can be dangerous: Stealthy and effective physical-world adversarial attack by natural phenomenon
|
https://scholar.google.com/scholar?cluster=363481114525663897&hl=en&as_sdt=0,34
| 1
| 2,022
|
Sketching Without Worrying: Noise-Tolerant Sketch-Based Image Retrieval
| 23
|
cvpr
| 0
| 1
|
2023-06-03 15:13:18.379000
|
https://github.com/ayankumarbhunia/stroke_subset_selector-for-fgsbir
| 9
|
Sketching without worrying: Noise-tolerant sketch-based image retrieval
|
https://scholar.google.com/scholar?cluster=1549676145286684211&hl=en&as_sdt=0,31
| 1
| 2,022
|
Non-Isotropy Regularization for Proxy-Based Deep Metric Learning
| 16
|
cvpr
| 3
| 1
|
2023-06-03 15:13:18.574000
|
https://github.com/explainableml/nonisotropicproxydml
| 12
|
Non-isotropy regularization for proxy-based deep metric learning
|
https://scholar.google.com/scholar?cluster=18444841473840429929&hl=en&as_sdt=0,33
| 4
| 2,022
|
PUMP: Pyramidal and Uniqueness Matching Priors for Unsupervised Learning of Local Descriptors
| 7
|
cvpr
| 3
| 4
|
2023-06-03 15:13:18.768000
|
https://github.com/naver/pump
| 31
|
PUMP: Pyramidal and uniqueness matching priors for unsupervised learning of local descriptors
|
https://scholar.google.com/scholar?cluster=8551941411438314539&hl=en&as_sdt=0,47
| 4
| 2,022
|
Decoupling and Recoupling Spatiotemporal Representation for RGB-D-Based Motion Recognition
| 5
|
cvpr
| 3
| 0
|
2023-06-03 15:13:18.962000
|
https://github.com/damo-cv/motionrgbd
| 11
|
Decoupling and recoupling spatiotemporal representation for RGB-D-based motion recognition
|
https://scholar.google.com/scholar?cluster=6391796257286266845&hl=en&as_sdt=0,39
| 0
| 2,022
|
Deep Equilibrium Optical Flow Estimation
| 20
|
cvpr
| 17
| 0
|
2023-06-03 15:13:19.158000
|
https://github.com/locuslab/deq-flow
| 155
|
Deep equilibrium optical flow estimation
|
https://scholar.google.com/scholar?cluster=4481040450726038983&hl=en&as_sdt=0,33
| 8
| 2,022
|
Few-Shot Learning With Noisy Labels
| 11
|
cvpr
| 1
| 0
|
2023-06-03 15:13:19.352000
|
https://github.com/facebookresearch/noisy_few_shot
| 30
|
Few-shot learning with noisy labels
|
https://scholar.google.com/scholar?cluster=17809989091527759685&hl=en&as_sdt=0,33
| 5
| 2,022
|
Interactive Image Synthesis With Panoptic Layout Generation
| 5
|
cvpr
| 1
| 4
|
2023-06-03 15:13:19.551000
|
https://github.com/wb-finalking/PLGAN
| 16
|
Interactive Image Synthesis with Panoptic Layout Generation
|
https://scholar.google.com/scholar?cluster=2666875388917869100&hl=en&as_sdt=0,24
| 3
| 2,022
|
Attribute Group Editing for Reliable Few-Shot Image Generation
| 7
|
cvpr
| 8
| 8
|
2023-06-03 15:13:19.745000
|
https://github.com/unibester/age
| 48
|
Attribute Group Editing for Reliable Few-shot Image Generation
|
https://scholar.google.com/scholar?cluster=12878484213141116778&hl=en&as_sdt=0,5
| 3
| 2,022
|
PlanarRecon: Real-Time 3D Plane Detection and Reconstruction From Posed Monocular Videos
| 6
|
cvpr
| 8
| 4
|
2023-06-03 15:13:19.940000
|
https://github.com/neu-vi/PlanarRecon
| 232
|
PlanarRecon: Real-time 3D Plane Detection and Reconstruction from Posed Monocular Videos
|
https://scholar.google.com/scholar?cluster=11352550170511398324&hl=en&as_sdt=0,5
| 11
| 2,022
|
Local Texture Estimator for Implicit Representation Function
| 37
|
cvpr
| 28
| 0
|
2023-06-03 15:13:20.134000
|
https://github.com/jaewon-lee-b/lte
| 120
|
Local texture estimator for implicit representation function
|
https://scholar.google.com/scholar?cluster=15673761794145810552&hl=en&as_sdt=0,3
| 4
| 2,022
|
Motron: Multimodal Probabilistic Human Motion Forecasting
| 7
|
cvpr
| 0
| 0
|
2023-06-03 15:13:20.329000
|
https://github.com/TUM-AAS/motron-cvpr22
| 12
|
Motron: Multimodal probabilistic human motion forecasting
|
https://scholar.google.com/scholar?cluster=5600714986446944153&hl=en&as_sdt=0,39
| 1
| 2,022
|
Appearance and Structure Aware Robust Deep Visual Graph Matching: Attack, Defense and Beyond
| 4
|
cvpr
| 0
| 1
|
2023-06-03 15:13:20.523000
|
https://github.com/thinklab-sjtu/robustmatch
| 12
|
Appearance and structure aware robust deep visual graph matching: Attack, defense and beyond
|
https://scholar.google.com/scholar?cluster=10410063998921365943&hl=en&as_sdt=0,44
| 2
| 2,022
|
Unified Multivariate Gaussian Mixture for Efficient Neural Image Compression
| 16
|
cvpr
| 10
| 3
|
2023-06-03 15:13:20.717000
|
https://github.com/xiaosu-zhu/McQuic
| 82
|
Unified multivariate gaussian mixture for efficient neural image compression
|
https://scholar.google.com/scholar?cluster=12208152737463536401&hl=en&as_sdt=0,44
| 1
| 2,022
|
Feature Statistics Mixing Regularization for Generative Adversarial Networks
| 9
|
cvpr
| 3
| 2
|
2023-06-03 15:13:20.912000
|
https://github.com/naver-ai/fsmr
| 48
|
Feature statistics mixing regularization for generative adversarial networks
|
https://scholar.google.com/scholar?cluster=3178196947805198698&hl=en&as_sdt=0,5
| 3
| 2,022
|
Many-to-Many Splatting for Efficient Video Frame Interpolation
| 24
|
cvpr
| 6
| 0
|
2023-06-03 15:13:21.106000
|
https://github.com/feinanshan/m2m_vfi
| 74
|
Many-to-many splatting for efficient video frame interpolation
|
https://scholar.google.com/scholar?cluster=9061197896951531138&hl=en&as_sdt=0,5
| 5
| 2,022
|
RCP: Recurrent Closest Point for Point Cloud
| 10
|
cvpr
| 0
| 1
|
2023-06-03 15:13:21.301000
|
https://github.com/gxd1994/rcp
| 9
|
RCP: recurrent closest point for point cloud
|
https://scholar.google.com/scholar?cluster=6174376460507552089&hl=en&as_sdt=0,23
| 3
| 2,022
|
Geometric and Textural Augmentation for Domain Gap Reduction
| 6
|
cvpr
| 0
| 2
|
2023-06-03 15:13:21.500000
|
https://github.com/xch-liu/geom-tex-dg
| 7
|
Geometric and Textural Augmentation for Domain Gap Reduction
|
https://scholar.google.com/scholar?cluster=9960592049133533503&hl=en&as_sdt=0,5
| 1
| 2,022
|
Surpassing the Human Accuracy: Detecting Gallbladder Cancer From USG Images With Curriculum Learning
| 7
|
cvpr
| 2
| 0
|
2023-06-03 15:13:21.694000
|
https://github.com/sbasu276/GBCNet
| 12
|
Surpassing the human accuracy: detecting gallbladder cancer from USG images with curriculum learning
|
https://scholar.google.com/scholar?cluster=11123929537083945888&hl=en&as_sdt=0,33
| 2
| 2,022
|
A Dual Weighting Label Assignment Scheme for Object Detection
| 31
|
cvpr
| 16
| 12
|
2023-06-03 15:13:21.888000
|
https://github.com/strongwolf/dw
| 131
|
A dual weighting label assignment scheme for object detection
|
https://scholar.google.com/scholar?cluster=2484140027818923745&hl=en&as_sdt=0,5
| 5
| 2,022
|
A Keypoint-Based Global Association Network for Lane Detection
| 16
|
cvpr
| 25
| 20
|
2023-06-03 15:13:22.083000
|
https://github.com/wolfwjs/ganet
| 174
|
A keypoint-based global association network for lane detection
|
https://scholar.google.com/scholar?cluster=5359779095767820120&hl=en&as_sdt=0,5
| 8
| 2,022
|
Learning Multiple Adverse Weather Removal via Two-Stage Knowledge Learning and Multi-Contrastive Regularization: Toward a Unified Model
| 19
|
cvpr
| 11
| 8
|
2023-06-03 15:13:22.278000
|
https://github.com/fingerk28/two-stage-knowledge-for-multiple-adverse-weather-removal
| 98
|
Learning multiple adverse weather removal via two-stage knowledge learning and multi-contrastive regularization: Toward a unified model
|
https://scholar.google.com/scholar?cluster=6389162819004784674&hl=en&as_sdt=0,5
| 3
| 2,022
|
Hyperbolic Vision Transformers: Combining Improvements in Metric Learning
| 19
|
cvpr
| 17
| 2
|
2023-06-03 15:13:22.474000
|
https://github.com/htdt/hyp_metric
| 132
|
Hyperbolic vision transformers: Combining improvements in metric learning
|
https://scholar.google.com/scholar?cluster=11949602207830740830&hl=en&as_sdt=0,15
| 7
| 2,022
|
L-Verse: Bidirectional Generation Between Image and Text
| 10
|
cvpr
| 4
| 1
|
2023-06-03 15:13:22.668000
|
https://github.com/tgisaturday/L-Verse
| 105
|
L-verse: Bidirectional generation between image and text
|
https://scholar.google.com/scholar?cluster=1289245814456922276&hl=en&as_sdt=0,34
| 11
| 2,022
|
Attributable Visual Similarity Learning
| 5
|
cvpr
| 5
| 0
|
2023-06-03 15:13:22.863000
|
https://github.com/zbr17/avsl
| 29
|
Attributable visual similarity learning
|
https://scholar.google.com/scholar?cluster=1504278305019128751&hl=en&as_sdt=0,15
| 2
| 2,022
|
Self-Supervised Learning of Adversarial Example: Towards Good Generalizations for Deepfake Detection
| 37
|
cvpr
| 15
| 9
|
2023-06-03 15:13:23.057000
|
https://github.com/liangchen527/sladd
| 94
|
Self-supervised learning of adversarial example: Towards good generalizations for deepfake detection
|
https://scholar.google.com/scholar?cluster=12729341217248980339&hl=en&as_sdt=0,5
| 6
| 2,022
|
DyTox: Transformers for Continual Learning With DYnamic TOken eXpansion
| 82
|
cvpr
| 18
| 4
|
2023-06-03 15:13:23.262000
|
https://github.com/arthurdouillard/dytox
| 111
|
Dytox: Transformers for continual learning with dynamic token expansion
|
https://scholar.google.com/scholar?cluster=14790667600152766666&hl=en&as_sdt=0,5
| 3
| 2,022
|
PanopticDepth: A Unified Framework for Depth-Aware Panoptic Segmentation
| 3
|
cvpr
| 4
| 5
|
2023-06-03 15:13:23.457000
|
https://github.com/naiyugao/panopticdepth
| 94
|
Panopticdepth: A unified framework for depth-aware panoptic segmentation
|
https://scholar.google.com/scholar?cluster=6001282028310546811&hl=en&as_sdt=0,5
| 4
| 2,022
|
Cross-Image Relational Knowledge Distillation for Semantic Segmentation
| 36
|
cvpr
| 16
| 2
|
2023-06-03 15:13:23.651000
|
https://github.com/winycg/cirkd
| 112
|
Cross-image relational knowledge distillation for semantic segmentation
|
https://scholar.google.com/scholar?cluster=7831509579630976373&hl=en&as_sdt=0,5
| 4
| 2,022
|
3D Shape Reconstruction From 2D Images With Disentangled Attribute Flow
| 16
|
cvpr
| 4
| 0
|
2023-06-03 15:13:23.846000
|
https://github.com/junshengzhou/3dattriflow
| 39
|
3D shape reconstruction from 2D images with disentangled attribute flow
|
https://scholar.google.com/scholar?cluster=1789674502219608049&hl=en&as_sdt=0,5
| 6
| 2,022
|
Beyond Supervised vs. Unsupervised: Representative Benchmarking and Analysis of Image Representation Learning
| 6
|
cvpr
| 1
| 0
|
2023-06-03 15:13:24.040000
|
https://github.com/mgwillia/unsupervised-analysis
| 8
|
Beyond supervised vs. unsupervised: Representative benchmarking and analysis of image representation learning
|
https://scholar.google.com/scholar?cluster=16835846862649846537&hl=en&as_sdt=0,33
| 2
| 2,022
|
Camera-Conditioned Stable Feature Generation for Isolated Camera Supervised Person Re-IDentification
| 3
|
cvpr
| 2
| 2
|
2023-06-03 15:13:24.242000
|
https://github.com/ftd-wuchao/ccsfg
| 8
|
Camera-conditioned stable feature generation for isolated camera supervised person re-identification
|
https://scholar.google.com/scholar?cluster=16513446344988595603&hl=en&as_sdt=0,5
| 2
| 2,022
|
OpenTAL: Towards Open Set Temporal Action Localization
| 11
|
cvpr
| 1
| 1
|
2023-06-03 15:13:24.437000
|
https://github.com/Cogito2012/OpenTAL
| 42
|
Opental: Towards open set temporal action localization
|
https://scholar.google.com/scholar?cluster=15497847232638129233&hl=en&as_sdt=0,5
| 4
| 2,022
|
Discrete Time Convolution for Fast Event-Based Stereo
| 7
|
cvpr
| 0
| 2
|
2023-06-03 15:13:24.632000
|
https://github.com/Huawei-BIC/Discrete_Time_Convolution_for_Fast_Event_Based_Stereo
| 5
|
Discrete time convolution for fast event-based stereo
|
https://scholar.google.com/scholar?cluster=10132978278685091738&hl=en&as_sdt=0,33
| 1
| 2,022
|
Weakly Supervised Semantic Segmentation Using Out-of-Distribution Data
| 23
|
cvpr
| 7
| 5
|
2023-06-03 15:13:24.826000
|
https://github.com/naver-ai/w-ood
| 79
|
Weakly supervised semantic segmentation using out-of-distribution data
|
https://scholar.google.com/scholar?cluster=10517312123859447200&hl=en&as_sdt=0,14
| 7
| 2,022
|
Improving Visual Grounding With Visual-Linguistic Verification and Iterative Reasoning
| 19
|
cvpr
| 3
| 4
|
2023-06-03 15:13:25.020000
|
https://github.com/yangli18/vltvg
| 72
|
Improving visual grounding with visual-linguistic verification and iterative reasoning
|
https://scholar.google.com/scholar?cluster=11859415308292435573&hl=en&as_sdt=0,5
| 2
| 2,022
|
Point-Level Region Contrast for Object Detection Pre-Training
| 21
|
cvpr
| 2
| 0
|
2023-06-03 15:13:25.214000
|
https://github.com/facebookresearch/PLRC
| 31
|
Point-level region contrast for object detection pre-training
|
https://scholar.google.com/scholar?cluster=8481021928568633762&hl=en&as_sdt=0,5
| 4
| 2,022
|
ST++: Make Self-Training Work Better for Semi-Supervised Semantic Segmentation
| 77
|
cvpr
| 28
| 2
|
2023-06-03 15:13:25.409000
|
https://github.com/LiheYoung/ST-PlusPlus
| 184
|
St++: Make self-training work better for semi-supervised semantic segmentation
|
https://scholar.google.com/scholar?cluster=9712954716609052596&hl=en&as_sdt=0,47
| 5
| 2,022
|
VisualHow: Multimodal Problem Solving
| 0
|
cvpr
| 1
| 0
|
2023-06-03 15:13:25.602000
|
https://github.com/formidify/visualhow
| 4
|
VisualHow: Multimodal Problem Solving
|
https://scholar.google.com/scholar?cluster=18023386925378797214&hl=en&as_sdt=0,5
| 2
| 2,022
|
Interacting Attention Graph for Single Image Two-Hand Reconstruction
| 32
|
cvpr
| 25
| 14
|
2023-06-03 15:13:25.797000
|
https://github.com/dw1010/intaghand
| 217
|
Interacting attention graph for single image two-hand reconstruction
|
https://scholar.google.com/scholar?cluster=279346595374704806&hl=en&as_sdt=0,5
| 15
| 2,022
|
OSSGAN: Open-Set Semi-Supervised Image Generation
| 0
|
cvpr
| 4
| 1
|
2023-06-03 15:13:25.991000
|
https://github.com/raven38/ossgan
| 20
|
OSSGAN: Open-Set Semi-Supervised Image Generation
|
https://scholar.google.com/scholar?cluster=16258493984926978217&hl=en&as_sdt=0,5
| 1
| 2,022
|
Failure Modes of Domain Generalization Algorithms
| 7
|
cvpr
| 1
| 0
|
2023-06-03 15:13:26.185000
|
https://github.com/tigrangalstyan/wilds
| 0
|
Failure modes of domain generalization algorithms
|
https://scholar.google.com/scholar?cluster=3035832448773782127&hl=en&as_sdt=0,5
| 0
| 2,022
|
Exploring and Evaluating Image Restoration Potential in Dynamic Scenes
| 4
|
cvpr
| 0
| 0
|
2023-06-03 15:13:26.380000
|
https://github.com/justones/irp
| 7
|
Exploring and evaluating image restoration potential in dynamic scenes
|
https://scholar.google.com/scholar?cluster=3069214283886555277&hl=en&as_sdt=0,5
| 2
| 2,022
|
Lite Vision Transformer With Enhanced Self-Attention
| 34
|
cvpr
| 9
| 5
|
2023-06-03 15:13:26.574000
|
https://github.com/chenglin-yang/lvt
| 110
|
Lite vision transformer with enhanced self-attention
|
https://scholar.google.com/scholar?cluster=1596143178819191608&hl=en&as_sdt=0,47
| 3
| 2,022
|
TrackFormer: Multi-Object Tracking With Transformers
| 352
|
cvpr
| 83
| 46
|
2023-06-03 15:13:26.769000
|
https://github.com/timmeinhardt/trackformer
| 384
|
Trackformer: Multi-object tracking with transformers
|
https://scholar.google.com/scholar?cluster=11460907858590036405&hl=en&as_sdt=0,43
| 13
| 2,022
|
Learning To Learn and Remember Super Long Multi-Domain Task Sequence
| 7
|
cvpr
| 0
| 0
|
2023-06-03 15:13:26.963000
|
https://github.com/joey-wang123/sdml
| 10
|
Learning to learn and remember super long multi-domain task sequence
|
https://scholar.google.com/scholar?cluster=11670835409632826627&hl=en&as_sdt=0,44
| 1
| 2,022
|
Bending Reality: Distortion-Aware Transformers for Adapting to Panoramic Semantic Segmentation
| 37
|
cvpr
| 13
| 1
|
2023-06-03 15:13:27.158000
|
https://github.com/jamycheung/trans4pass
| 49
|
Bending reality: Distortion-aware transformers for adapting to panoramic semantic segmentation
|
https://scholar.google.com/scholar?cluster=15501859390969545209&hl=en&as_sdt=0,5
| 7
| 2,022
|
ST-MFNet: A Spatio-Temporal Multi-Flow Network for Frame Interpolation
| 19
|
cvpr
| 5
| 1
|
2023-06-03 15:13:27.361000
|
https://github.com/danielism97/st-mfnet
| 36
|
St-mfnet: A spatio-temporal multi-flow network for frame interpolation
|
https://scholar.google.com/scholar?cluster=3349947361370227342&hl=en&as_sdt=0,5
| 5
| 2,022
|
Dynamic Kernel Selection for Improved Generalization and Memory Efficiency in Meta-Learning
| 0
|
cvpr
| 0
| 0
|
2023-06-03 15:13:27.555000
|
https://github.com/transmuteai/metadock
| 4
|
Dynamic Kernel Selection for Improved Generalization and Memory Efficiency in Meta-learning
|
https://scholar.google.com/scholar?cluster=2138648671125260639&hl=en&as_sdt=0,5
| 0
| 2,022
|
Decoupled Knowledge Distillation
| 117
|
cvpr
| 95
| 5
|
2023-06-03 15:13:27.749000
|
https://github.com/megvii-research/mdistiller
| 556
|
Decoupled knowledge distillation
|
https://scholar.google.com/scholar?cluster=6183306406495914013&hl=en&as_sdt=0,7
| 6
| 2,022
|
A Sampling-Based Approach for Efficient Clustering in Large Datasets
| 1
|
cvpr
| 1
| 0
|
2023-06-03 15:13:27.944000
|
https://github.com/ooub/peregrine
| 1
|
A sampling-based approach for efficient clustering in large datasets
|
https://scholar.google.com/scholar?cluster=16296683083413569384&hl=en&as_sdt=0,33
| 1
| 2,022
|
Reconstructing Surfaces for Sparse Point Clouds With On-Surface Priors
| 18
|
cvpr
| 25
| 2
|
2023-06-03 15:13:28.138000
|
https://github.com/mabaorui/onsurfaceprior
| 171
|
Reconstructing surfaces for sparse point clouds with on-surface priors
|
https://scholar.google.com/scholar?cluster=4032557461331246649&hl=en&as_sdt=0,14
| 11
| 2,022
|
Dual Task Learning by Leveraging Both Dense Correspondence and Mis-Correspondence for Robust Change Detection With Imperfect Matches
| 1
|
cvpr
| 3
| 1
|
2023-06-03 15:13:28.333000
|
https://github.com/sammica/simsac
| 17
|
Dual Task Learning by Leveraging Both Dense Correspondence and Mis-Correspondence for Robust Change Detection With Imperfect Matches
|
https://scholar.google.com/scholar?cluster=12745082851017557261&hl=en&as_sdt=0,10
| 5
| 2,022
|
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