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|---|---|---|---|---|---|---|---|---|---|---|---|
Multi-View Depth Estimation by Fusing Single-View Depth Probability With Multi-View Geometry
| 13
|
cvpr
| 13
| 7
|
2023-06-03 15:11:51.048000
|
https://github.com/baegwangbin/magnet
| 162
|
Multi-View Depth Estimation by Fusing Single-View Depth Probability with Multi-View Geometry
|
https://scholar.google.com/scholar?cluster=1886059432415129607&hl=en&as_sdt=0,10
| 10
| 2,022
|
Image-to-Lidar Self-Supervised Distillation for Autonomous Driving Data
| 27
|
cvpr
| 18
| 0
|
2023-06-03 15:11:51.241000
|
https://github.com/valeoai/slidr
| 116
|
Image-to-lidar self-supervised distillation for autonomous driving data
|
https://scholar.google.com/scholar?cluster=7983433851687883883&hl=en&as_sdt=0,5
| 9
| 2,022
|
AlignQ: Alignment Quantization With ADMM-Based Correlation Preservation
| 2
|
cvpr
| 0
| 2
|
2023-06-03 15:11:51.436000
|
https://github.com/tinganchen/alignq
| 7
|
AlignQ: Alignment Quantization with ADMM-based Correlation Preservation
|
https://scholar.google.com/scholar?cluster=6551086000020541347&hl=en&as_sdt=0,10
| 2
| 2,022
|
SCS-Co: Self-Consistent Style Contrastive Learning for Image Harmonization
| 8
|
cvpr
| 0
| 3
|
2023-06-03 15:11:51.629000
|
https://github.com/ychang686/scs-co
| 15
|
Scs-co: Self-consistent style contrastive learning for image harmonization
|
https://scholar.google.com/scholar?cluster=829043008214387637&hl=en&as_sdt=0,33
| 8
| 2,022
|
CLIP-NeRF: Text-and-Image Driven Manipulation of Neural Radiance Fields
| 122
|
cvpr
| 14
| 13
|
2023-06-03 15:11:51.823000
|
https://github.com/cassiePython/CLIPNeRF
| 215
|
Clip-nerf: Text-and-image driven manipulation of neural radiance fields
|
https://scholar.google.com/scholar?cluster=4864817613756311341&hl=en&as_sdt=0,5
| 15
| 2,022
|
Explaining Deep Convolutional Neural Networks via Latent Visual-Semantic Filter Attention
| 5
|
cvpr
| 3
| 1
|
2023-06-03 15:11:52.016000
|
https://github.com/yuyang0901/lavise
| 14
|
Explaining deep convolutional neural networks via latent visual-semantic filter attention
|
https://scholar.google.com/scholar?cluster=2638927577424870038&hl=en&as_sdt=0,44
| 2
| 2,022
|
Self-Distillation From the Last Mini-Batch for Consistency Regularization
| 13
|
cvpr
| 4
| 2
|
2023-06-03 15:11:52.211000
|
https://github.com/meta-knowledge-lab/dlb
| 31
|
Self-distillation from the last mini-batch for consistency regularization
|
https://scholar.google.com/scholar?cluster=4161549003342654024&hl=en&as_sdt=0,5
| 4
| 2,022
|
Homography Loss for Monocular 3D Object Detection
| 13
|
cvpr
| 1
| 3
|
2023-06-03 15:11:52.405000
|
https://github.com/gujiaqivadin/HomographyLoss
| 48
|
Homography loss for monocular 3d object detection
|
https://scholar.google.com/scholar?cluster=6731379779152512615&hl=en&as_sdt=0,5
| 9
| 2,022
|
Interactive Multi-Class Tiny-Object Detection
| 7
|
cvpr
| 8
| 6
|
2023-06-03 15:11:52.599000
|
https://github.com/chungyi347/interactive-multi-class-tiny-object-detection
| 117
|
Interactive Multi-Class Tiny-Object Detection
|
https://scholar.google.com/scholar?cluster=2359034833759547214&hl=en&as_sdt=0,33
| 3
| 2,022
|
ART-Point: Improving Rotation Robustness of Point Cloud Classifiers via Adversarial Rotation
| 5
|
cvpr
| 2
| 1
|
2023-06-03 15:11:52.793000
|
https://github.com/robinwang1/art-point
| 20
|
Art-point: Improving rotation robustness of point cloud classifiers via adversarial rotation
|
https://scholar.google.com/scholar?cluster=8517568599940731232&hl=en&as_sdt=0,31
| 1
| 2,022
|
Stable Long-Term Recurrent Video Super-Resolution
| 2
|
cvpr
| 1
| 0
|
2023-06-03 15:11:52.987000
|
https://github.com/bjmch/MRVSR
| 13
|
Stable long-term recurrent video super-resolution
|
https://scholar.google.com/scholar?cluster=8822280917744930483&hl=en&as_sdt=0,5
| 1
| 2,022
|
Targeted Supervised Contrastive Learning for Long-Tailed Recognition
| 60
|
cvpr
| 8
| 4
|
2023-06-03 15:11:53.180000
|
https://github.com/lth14/targeted-supcon
| 71
|
Targeted supervised contrastive learning for long-tailed recognition
|
https://scholar.google.com/scholar?cluster=13733873656995544681&hl=en&as_sdt=0,33
| 1
| 2,022
|
ConDor: Self-Supervised Canonicalization of 3D Pose for Partial Shapes
| 16
|
cvpr
| 5
| 0
|
2023-06-03 15:11:53.374000
|
https://github.com/brown-ivl/ConDor
| 39
|
Condor: Self-supervised canonicalization of 3d pose for partial shapes
|
https://scholar.google.com/scholar?cluster=17821245970665188554&hl=en&as_sdt=0,49
| 1
| 2,022
|
Balanced Contrastive Learning for Long-Tailed Visual Recognition
| 36
|
cvpr
| 8
| 6
|
2023-06-03 15:11:53.568000
|
https://github.com/flamiezhu/bcl
| 60
|
Balanced contrastive learning for long-tailed visual recognition
|
https://scholar.google.com/scholar?cluster=1251493437962452403&hl=en&as_sdt=0,23
| 2
| 2,022
|
Bandits for Structure Perturbation-Based Black-Box Attacks To Graph Neural Networks With Theoretical Guarantees
| 2
|
cvpr
| 0
| 1
|
2023-06-03 15:11:53.762000
|
https://github.com/metaoblivion/bandit_gnn_attack
| 2
|
Bandits for Structure Perturbation-based Black-box Attacks to Graph Neural Networks with Theoretical Guarantees
|
https://scholar.google.com/scholar?cluster=9420293099745156582&hl=en&as_sdt=0,48
| 1
| 2,022
|
Exploring Endogenous Shift for Cross-Domain Detection: A Large-Scale Benchmark and Perturbation Suppression Network
| 4
|
cvpr
| 5
| 1
|
2023-06-03 15:11:53.956000
|
https://github.com/DIG-Beihang/PSN
| 21
|
Exploring Endogenous Shift for Cross-domain Detection: A Large-scale Benchmark and Perturbation Suppression Network
|
https://scholar.google.com/scholar?cluster=8345745909201314754&hl=en&as_sdt=0,5
| 0
| 2,022
|
A Hybrid Quantum-Classical Algorithm for Robust Fitting
| 11
|
cvpr
| 1
| 0
|
2023-06-03 15:11:54.149000
|
https://github.com/dadung/hqc-robust-fitting
| 4
|
A hybrid quantum-classical algorithm for robust fitting
|
https://scholar.google.com/scholar?cluster=9615275407828505733&hl=en&as_sdt=0,26
| 1
| 2,022
|
Slimmable Domain Adaptation
| 6
|
cvpr
| 1
| 0
|
2023-06-03 15:11:54.343000
|
https://github.com/hik-lab/slimda
| 4
|
Slimmable domain adaptation
|
https://scholar.google.com/scholar?cluster=8676942822111500758&hl=en&as_sdt=0,5
| 1
| 2,022
|
Decoupling Makes Weakly Supervised Local Feature Better
| 17
|
cvpr
| 3
| 0
|
2023-06-03 15:11:54.537000
|
https://github.com/The-Learning-And-Vision-Atelier-LAVA/PoSFeat
| 88
|
Decoupling makes weakly supervised local feature better
|
https://scholar.google.com/scholar?cluster=17838776311448192851&hl=en&as_sdt=0,5
| 5
| 2,022
|
VisCUIT: Visual Auditor for Bias in CNN Image Classifier
| 4
|
cvpr
| 0
| 0
|
2023-06-03 15:11:54.738000
|
https://github.com/poloclub/viscuit
| 6
|
VisCUIT: Visual auditor for bias in CNN image classifier
|
https://scholar.google.com/scholar?cluster=2224841334807001363&hl=en&as_sdt=0,33
| 6
| 2,022
|
Human Instance Matting via Mutual Guidance and Multi-Instance Refinement
| 4
|
cvpr
| 3
| 0
|
2023-06-03 15:11:54.932000
|
https://github.com/nowsyn/instmatt
| 62
|
Human instance matting via mutual guidance and multi-instance refinement
|
https://scholar.google.com/scholar?cluster=7734851440095865996&hl=en&as_sdt=0,43
| 17
| 2,022
|
DIP: Deep Inverse Patchmatch for High-Resolution Optical Flow
| 12
|
cvpr
| 3
| 1
|
2023-06-03 15:11:55.125000
|
https://github.com/zihuazheng/dip
| 33
|
Dip: Deep inverse patchmatch for high-resolution optical flow
|
https://scholar.google.com/scholar?cluster=14772753701936328240&hl=en&as_sdt=0,31
| 13
| 2,022
|
A Unified Model for Line Projections in Catadioptric Cameras With Rotationally Symmetric Mirrors
| 1
|
cvpr
| 0
| 0
|
2023-06-03 15:11:55.320000
|
https://github.com/pmiraldo/line-projection-catadioptric
| 0
|
A Unified Model for Line Projections in Catadioptric Cameras with Rotationally Symmetric Mirrors
|
https://scholar.google.com/scholar?cluster=17611314101887791279&hl=en&as_sdt=0,26
| 1
| 2,022
|
DirecFormer: A Directed Attention in Transformer Approach to Robust Action Recognition
| 19
|
cvpr
| 2
| 2
|
2023-06-03 15:11:55.513000
|
https://github.com/uark-cviu/direcformer
| 18
|
Direcformer: A directed attention in transformer approach to robust action recognition
|
https://scholar.google.com/scholar?cluster=15291191071526338462&hl=en&as_sdt=0,41
| 1
| 2,022
|
SwinTextSpotter: Scene Text Spotting via Better Synergy Between Text Detection and Text Recognition
| 25
|
cvpr
| 35
| 12
|
2023-06-03 15:11:55.708000
|
https://github.com/mxin262/swintextspotter
| 221
|
Swintextspotter: Scene text spotting via better synergy between text detection and text recognition
|
https://scholar.google.com/scholar?cluster=6989674085539462525&hl=en&as_sdt=0,5
| 7
| 2,022
|
Few-Shot Object Detection With Fully Cross-Transformer
| 44
|
cvpr
| 8
| 14
|
2023-06-03 15:11:55.902000
|
https://github.com/guangxinghan/fct
| 45
|
Few-shot object detection with fully cross-transformer
|
https://scholar.google.com/scholar?cluster=2983619289198144662&hl=en&as_sdt=0,48
| 4
| 2,022
|
Video Frame Interpolation With Transformer
| 32
|
cvpr
| 13
| 12
|
2023-06-03 15:11:56.097000
|
https://github.com/dvlab-research/vfiformer
| 90
|
Video frame interpolation with transformer
|
https://scholar.google.com/scholar?cluster=17295051963064398777&hl=en&as_sdt=0,34
| 5
| 2,022
|
TCTrack: Temporal Contexts for Aerial Tracking
| 40
|
cvpr
| 30
| 5
|
2023-06-03 15:11:56.298000
|
https://github.com/vision4robotics/tctrack
| 118
|
TCTrack: Temporal contexts for aerial tracking
|
https://scholar.google.com/scholar?cluster=1435906032426961702&hl=en&as_sdt=0,14
| 2
| 2,022
|
iPLAN: Interactive and Procedural Layout Planning
| 4
|
cvpr
| 3
| 1
|
2023-06-03 15:11:56.492000
|
https://github.com/realcrane/iPLAN-Interactive-and-Procedural-Layout-Planning
| 16
|
iPLAN: interactive and procedural layout planning
|
https://scholar.google.com/scholar?cluster=2268894692471172520&hl=en&as_sdt=0,10
| 5
| 2,022
|
GAN-Supervised Dense Visual Alignment
| 33
|
cvpr
| 118
| 6
|
2023-06-03 15:11:56.691000
|
https://github.com/wpeebles/gangealing
| 982
|
Gan-supervised dense visual alignment
|
https://scholar.google.com/scholar?cluster=16638477680398641872&hl=en&as_sdt=0,5
| 16
| 2,022
|
GIFS: Neural Implicit Function for General Shape Representation
| 15
|
cvpr
| 4
| 0
|
2023-06-03 15:11:56.886000
|
https://github.com/jianglongye/gifs
| 69
|
GIFS: Neural implicit function for general shape representation
|
https://scholar.google.com/scholar?cluster=13905620613363965452&hl=en&as_sdt=0,33
| 6
| 2,022
|
PhysFormer: Facial Video-Based Physiological Measurement With Temporal Difference Transformer
| 30
|
cvpr
| 7
| 3
|
2023-06-03 15:11:57.081000
|
https://github.com/zitongyu/physformer
| 65
|
PhysFormer: facial video-based physiological measurement with temporal difference transformer
|
https://scholar.google.com/scholar?cluster=8053588590478703627&hl=en&as_sdt=0,44
| 6
| 2,022
|
Balanced MSE for Imbalanced Visual Regression
| 23
|
cvpr
| 27
| 0
|
2023-06-03 15:11:57.292000
|
https://github.com/jiawei-ren/BalancedMSE
| 297
|
Balanced mse for imbalanced visual regression
|
https://scholar.google.com/scholar?cluster=3746607576114564694&hl=en&as_sdt=0,5
| 8
| 2,022
|
HOI4D: A 4D Egocentric Dataset for Category-Level Human-Object Interaction
| 3
|
cvpr
| 5
| 1
|
2023-06-03 15:11:57.487000
|
https://github.com/leolyliu/HOI4D-Instructions
| 25
|
HOI4D: A 4D Egocentric Dataset for Category-Level Human-Object Interaction
|
https://scholar.google.com/scholar?cluster=932811307134293169&hl=en&as_sdt=0,39
| 1
| 2,022
|
Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning
| 22
|
cvpr
| 6
| 4
|
2023-06-03 15:11:57.681000
|
https://github.com/mmendiet/fedalign
| 37
|
Local learning matters: Rethinking data heterogeneity in federated learning
|
https://scholar.google.com/scholar?cluster=17308444446907301376&hl=en&as_sdt=0,33
| 2
| 2,022
|
Collaborative Transformers for Grounded Situation Recognition
| 5
|
cvpr
| 6
| 0
|
2023-06-03 15:11:57.876000
|
https://github.com/jhcho99/coformer
| 33
|
Collaborative transformers for grounded situation recognition
|
https://scholar.google.com/scholar?cluster=4025222753784961174&hl=en&as_sdt=0,33
| 4
| 2,022
|
Blind Image Super-Resolution With Elaborate Degradation Modeling on Noise and Kernel
| 8
|
cvpr
| 6
| 2
|
2023-06-03 15:11:58.071000
|
https://github.com/zsyOAOA/BSRDM
| 77
|
Blind image super-resolution with elaborate degradation modeling on noise and kernel
|
https://scholar.google.com/scholar?cluster=8130499388651638958&hl=en&as_sdt=0,19
| 2
| 2,022
|
UnweaveNet: Unweaving Activity Stories
| 4
|
cvpr
| 0
| 0
|
2023-06-03 15:11:58.270000
|
https://github.com/willprice/activity-stories
| 3
|
UnweaveNet: Unweaving Activity Stories
|
https://scholar.google.com/scholar?cluster=11666756894901674634&hl=en&as_sdt=0,33
| 2
| 2,022
|
Vox2Cortex: Fast Explicit Reconstruction of Cortical Surfaces From 3D MRI Scans With Geometric Deep Neural Networks
| 6
|
cvpr
| 8
| 2
|
2023-06-03 15:11:58.472000
|
https://github.com/ai-med/vox2cortex
| 28
|
Vox2cortex: fast explicit reconstruction of cortical surfaces from 3D MRI scans with geometric deep neural networks
|
https://scholar.google.com/scholar?cluster=16656997846799811932&hl=en&as_sdt=0,33
| 2
| 2,022
|
Progressive End-to-End Object Detection in Crowded Scenes
| 19
|
cvpr
| 6
| 11
|
2023-06-03 15:11:58.666000
|
https://github.com/megvii-model/iter-e2edet
| 73
|
Progressive end-to-end object detection in crowded scenes
|
https://scholar.google.com/scholar?cluster=17039945862035123188&hl=en&as_sdt=0,33
| 3
| 2,022
|
Look Closer To Supervise Better: One-Shot Font Generation via Component-Based Discriminator
| 10
|
cvpr
| 5
| 6
|
2023-06-03 15:11:58.861000
|
https://github.com/kyxscut/CG-GAN
| 65
|
Look Closer to Supervise Better: One-Shot Font Generation via Component-Based Discriminator
|
https://scholar.google.com/scholar?cluster=1654991629295666254&hl=en&as_sdt=0,33
| 4
| 2,022
|
ScanQA: 3D Question Answering for Spatial Scene Understanding
| 16
|
cvpr
| 1
| 3
|
2023-06-03 15:11:59.055000
|
https://github.com/atr-dbi/scanqa
| 45
|
ScanQA: 3D question answering for spatial scene understanding
|
https://scholar.google.com/scholar?cluster=13073090147692852508&hl=en&as_sdt=0,5
| 6
| 2,022
|
PhyIR: Physics-Based Inverse Rendering for Panoramic Indoor Images
| 5
|
cvpr
| 0
| 0
|
2023-06-03 15:11:59.248000
|
https://github.com/LZleejean/FutureHouse
| 11
|
Phyir: Physics-based inverse rendering for panoramic indoor images
|
https://scholar.google.com/scholar?cluster=9072496348607100712&hl=en&as_sdt=0,10
| 2
| 2,022
|
Class-Incremental Learning by Knowledge Distillation With Adaptive Feature Consolidation
| 42
|
cvpr
| 2
| 2
|
2023-06-03 15:11:59.444000
|
https://github.com/kminsoo/afc
| 40
|
Class-incremental learning by knowledge distillation with adaptive feature consolidation
|
https://scholar.google.com/scholar?cluster=5517490982946328291&hl=en&as_sdt=0,5
| 1
| 2,022
|
Automatic Synthesis of Diverse Weak Supervision Sources for Behavior Analysis
| 2
|
cvpr
| 0
| 0
|
2023-06-03 15:11:59.639000
|
https://github.com/autoswap/autoswap_cvpr_2022
| 0
|
Automatic synthesis of diverse weak supervision sources for behavior analysis
|
https://scholar.google.com/scholar?cluster=8850774509311392995&hl=en&as_sdt=0,5
| 1
| 2,022
|
Beyond Fixation: Dynamic Window Visual Transformer
| 10
|
cvpr
| 3
| 2
|
2023-06-03 15:11:59.833000
|
https://github.com/pzhren/dw-vit
| 22
|
Beyond fixation: Dynamic window visual transformer
|
https://scholar.google.com/scholar?cluster=3432971989735915692&hl=en&as_sdt=0,5
| 1
| 2,022
|
No-Reference Point Cloud Quality Assessment via Domain Adaptation
| 13
|
cvpr
| 2
| 0
|
2023-06-03 15:12:00.027000
|
https://github.com/qi-yangsjtu/it-pcqa
| 6
|
No-reference point cloud quality assessment via domain adaptation
|
https://scholar.google.com/scholar?cluster=11704421630157221695&hl=en&as_sdt=0,22
| 3
| 2,022
|
DyRep: Bootstrapping Training With Dynamic Re-Parameterization
| 11
|
cvpr
| 4
| 1
|
2023-06-03 15:12:00.221000
|
https://github.com/hunto/dyrep
| 36
|
Dyrep: Bootstrapping training with dynamic re-parameterization
|
https://scholar.google.com/scholar?cluster=9004725926464672087&hl=en&as_sdt=0,23
| 2
| 2,022
|
Faithful Extreme Rescaling via Generative Prior Reciprocated Invertible Representations
| 4
|
cvpr
| 1
| 5
|
2023-06-03 15:12:00.415000
|
https://github.com/cszzx/grain
| 11
|
Faithful extreme rescaling via generative prior reciprocated invertible representations
|
https://scholar.google.com/scholar?cluster=14399422148181390780&hl=en&as_sdt=0,5
| 3
| 2,022
|
Bailando: 3D Dance Generation by Actor-Critic GPT With Choreographic Memory
| 32
|
cvpr
| 51
| 23
|
2023-06-03 15:12:00.609000
|
https://github.com/lisiyao21/bailando
| 284
|
Bailando: 3d dance generation by actor-critic gpt with choreographic memory
|
https://scholar.google.com/scholar?cluster=6112913323950957761&hl=en&as_sdt=0,31
| 13
| 2,022
|
Comprehending and Ordering Semantics for Image Captioning
| 27
|
cvpr
| 118
| 9
|
2023-06-03 15:12:00.802000
|
https://github.com/yehli/xmodaler
| 961
|
Comprehending and ordering semantics for image captioning
|
https://scholar.google.com/scholar?cluster=18418607301133785994&hl=en&as_sdt=0,44
| 35
| 2,022
|
CDGNet: Class Distribution Guided Network for Human Parsing
| 10
|
cvpr
| 1
| 5
|
2023-06-03 15:12:00.996000
|
https://github.com/tjpulkl/cdgnet
| 22
|
Cdgnet: Class distribution guided network for human parsing
|
https://scholar.google.com/scholar?cluster=1642651212496196669&hl=en&as_sdt=0,5
| 1
| 2,022
|
Proto2Proto: Can You Recognize the Car, the Way I Do?
| 6
|
cvpr
| 1
| 3
|
2023-06-03 15:12:01.189000
|
https://github.com/archmaester/proto2proto
| 17
|
Proto2Proto: Can you recognize the car, the way I do?
|
https://scholar.google.com/scholar?cluster=14652242116280681807&hl=en&as_sdt=0,5
| 4
| 2,022
|
A Large-Scale Comprehensive Dataset and Copy-Overlap Aware Evaluation Protocol for Segment-Level Video Copy Detection
| 3
|
cvpr
| 13
| 6
|
2023-06-03 15:12:01.384000
|
https://github.com/alipay/vcsl
| 86
|
A Large-scale Comprehensive Dataset and Copy-overlap Aware Evaluation Protocol for Segment-level Video Copy Detection
|
https://scholar.google.com/scholar?cluster=3798718632373715926&hl=en&as_sdt=0,33
| 2
| 2,022
|
Dual Adversarial Adaptation for Cross-Device Real-World Image Super-Resolution
| 3
|
cvpr
| 3
| 2
|
2023-06-03 15:12:01.577000
|
https://github.com/lonelyhope/dada
| 17
|
Dual adversarial adaptation for cross-device real-world image super-resolution
|
https://scholar.google.com/scholar?cluster=12585024585484187646&hl=en&as_sdt=0,48
| 3
| 2,022
|
TVConv: Efficient Translation Variant Convolution for Layout-Aware Visual Processing
| 7
|
cvpr
| 5
| 3
|
2023-06-03 15:12:01.771000
|
https://github.com/jierunchen/tvconv
| 34
|
Tvconv: Efficient translation variant convolution for layout-aware visual processing
|
https://scholar.google.com/scholar?cluster=17158794433146143278&hl=en&as_sdt=0,47
| 2
| 2,022
|
GaTector: A Unified Framework for Gaze Object Prediction
| 8
|
cvpr
| 12
| 5
|
2023-06-03 15:12:01.965000
|
https://github.com/CodeMonsterPHD/GaTector-A-Unified-Framework-for-Gaze-Object-Prediction
| 62
|
Gatector: A unified framework for gaze object prediction
|
https://scholar.google.com/scholar?cluster=14449412475373341664&hl=en&as_sdt=0,33
| 3
| 2,022
|
FS6D: Few-Shot 6D Pose Estimation of Novel Objects
| 20
|
cvpr
| 0
| 8
|
2023-06-03 15:12:02.159000
|
https://github.com/ethnhe/FS6D-PyTorch
| 57
|
FS6D: Few-shot 6D pose estimation of novel objects
|
https://scholar.google.com/scholar?cluster=3399054124824947985&hl=en&as_sdt=0,5
| 17
| 2,022
|
MuKEA: Multimodal Knowledge Extraction and Accumulation for Knowledge-Based Visual Question Answering
| 14
|
cvpr
| 15
| 13
|
2023-06-03 15:12:02.352000
|
https://github.com/andersonstra/mukea
| 68
|
Mukea: Multimodal knowledge extraction and accumulation for knowledge-based visual question answering
|
https://scholar.google.com/scholar?cluster=3791605051552354810&hl=en&as_sdt=0,31
| 5
| 2,022
|
Reflection and Rotation Symmetry Detection via Equivariant Learning
| 3
|
cvpr
| 2
| 0
|
2023-06-03 15:12:02.546000
|
https://github.com/ahyunSeo/EquiSym
| 13
|
Reflection and Rotation Symmetry Detection via Equivariant Learning
|
https://scholar.google.com/scholar?cluster=14920322158551539092&hl=en&as_sdt=0,5
| 2
| 2,022
|
Simple but Effective: CLIP Embeddings for Embodied AI
| 72
|
cvpr
| 10
| 0
|
2023-06-03 15:12:02.740000
|
https://github.com/allenai/embodied-clip
| 66
|
Simple but effective: Clip embeddings for embodied ai
|
https://scholar.google.com/scholar?cluster=7221336460417039958&hl=en&as_sdt=0,5
| 6
| 2,022
|
HeadNeRF: A Real-Time NeRF-Based Parametric Head Model
| 74
|
cvpr
| 41
| 13
|
2023-06-03 15:12:02.934000
|
https://github.com/crishy1995/headnerf
| 344
|
Headnerf: A real-time nerf-based parametric head model
|
https://scholar.google.com/scholar?cluster=4600116112972239361&hl=en&as_sdt=0,10
| 20
| 2,022
|
CPPF: Towards Robust Category-Level 9D Pose Estimation in the Wild
| 10
|
cvpr
| 8
| 0
|
2023-06-03 15:12:03.128000
|
https://github.com/qq456cvb/cppf
| 38
|
Cppf: Towards robust category-level 9d pose estimation in the wild
|
https://scholar.google.com/scholar?cluster=16756938709076228236&hl=en&as_sdt=0,25
| 5
| 2,022
|
NomMer: Nominate Synergistic Context in Vision Transformer for Visual Recognition
| 6
|
cvpr
| 9
| 2
|
2023-06-03 15:12:03.328000
|
https://github.com/tencentyouturesearch/visualrecognition-nommer
| 23
|
Nommer: Nominate synergistic context in vision transformer for visual recognition
|
https://scholar.google.com/scholar?cluster=1755354855617861897&hl=en&as_sdt=0,5
| 4
| 2,022
|
Interactive Disentanglement: Learning Concepts by Interacting With Their Prototype Representations
| 9
|
cvpr
| 1
| 1
|
2023-06-03 15:12:03.522000
|
https://github.com/ml-research/xiconceptlearning
| 11
|
Interactive disentanglement: Learning concepts by interacting with their prototype representations
|
https://scholar.google.com/scholar?cluster=10270028716607829754&hl=en&as_sdt=0,5
| 2
| 2,022
|
Direct Voxel Grid Optimization: Super-Fast Convergence for Radiance Fields Reconstruction
| 229
|
cvpr
| 98
| 44
|
2023-06-03 15:12:03.716000
|
https://github.com/sunset1995/directvoxgo
| 858
|
Direct voxel grid optimization: Super-fast convergence for radiance fields reconstruction
|
https://scholar.google.com/scholar?cluster=579849009103222086&hl=en&as_sdt=0,5
| 22
| 2,022
|
Dynamic MLP for Fine-Grained Image Classification by Leveraging Geographical and Temporal Information
| 11
|
cvpr
| 11
| 2
|
2023-06-03 15:12:03.911000
|
https://github.com/ylingfeng/dynamicmlp
| 72
|
Dynamic mlp for fine-grained image classification by leveraging geographical and temporal information
|
https://scholar.google.com/scholar?cluster=16547765185441112176&hl=en&as_sdt=0,5
| 2
| 2,022
|
Learning Affinity From Attention: End-to-End Weakly-Supervised Semantic Segmentation With Transformers
| 46
|
cvpr
| 24
| 12
|
2023-06-03 15:12:04.105000
|
https://github.com/rulixiang/afa
| 165
|
Learning affinity from attention: end-to-end weakly-supervised semantic segmentation with transformers
|
https://scholar.google.com/scholar?cluster=6515573409385377039&hl=en&as_sdt=0,5
| 7
| 2,022
|
Continual Test-Time Domain Adaptation
| 77
|
cvpr
| 18
| 3
|
2023-06-03 15:12:04.299000
|
https://github.com/qinenergy/cotta
| 126
|
Continual test-time domain adaptation
|
https://scholar.google.com/scholar?cluster=4325500781447230872&hl=en&as_sdt=0,47
| 4
| 2,022
|
URetinex-Net: Retinex-Based Deep Unfolding Network for Low-Light Image Enhancement
| 55
|
cvpr
| 8
| 11
|
2023-06-03 15:12:04.494000
|
https://github.com/andersonyong/uretinex-net
| 92
|
Uretinex-net: Retinex-based deep unfolding network for low-light image enhancement
|
https://scholar.google.com/scholar?cluster=17361373328251331183&hl=en&as_sdt=0,5
| 1
| 2,022
|
Omnivore: A Single Model for Many Visual Modalities
| 70
|
cvpr
| 34
| 4
|
2023-06-03 15:12:04.688000
|
https://github.com/facebookresearch/omnivore
| 493
|
Omnivore: A single model for many visual modalities
|
https://scholar.google.com/scholar?cluster=7775892631592466813&hl=en&as_sdt=0,39
| 19
| 2,022
|
DAIR-V2X: A Large-Scale Dataset for Vehicle-Infrastructure Cooperative 3D Object Detection
| 52
|
cvpr
| 46
| 16
|
2023-06-03 15:12:04.888000
|
https://github.com/air-thu/dair-v2x
| 249
|
Dair-v2x: A large-scale dataset for vehicle-infrastructure cooperative 3d object detection
|
https://scholar.google.com/scholar?cluster=8270292026134965075&hl=en&as_sdt=0,22
| 16
| 2,022
|
FvOR: Robust Joint Shape and Pose Optimization for Few-View Object Reconstruction
| 4
|
cvpr
| 0
| 6
|
2023-06-03 15:12:05.082000
|
https://github.com/zhenpeiyang/fvor
| 47
|
Fvor: Robust joint shape and pose optimization for few-view object reconstruction
|
https://scholar.google.com/scholar?cluster=7729610362589957780&hl=en&as_sdt=0,5
| 5
| 2,022
|
Fair Contrastive Learning for Facial Attribute Classification
| 15
|
cvpr
| 1
| 4
|
2023-06-03 15:12:05.276000
|
https://github.com/sungho-coolg/fscl
| 29
|
Fair contrastive learning for facial attribute classification
|
https://scholar.google.com/scholar?cluster=14869759203355701449&hl=en&as_sdt=0,43
| 3
| 2,022
|
Semi-Supervised Wide-Angle Portraits Correction by Multi-Scale Transformer
| 5
|
cvpr
| 6
| 4
|
2023-06-03 15:12:05.473000
|
https://github.com/megvii-research/portraits_correction
| 24
|
Semi-supervised wide-angle portraits correction by multi-scale transformer
|
https://scholar.google.com/scholar?cluster=9231394585762666093&hl=en&as_sdt=0,5
| 9
| 2,022
|
IDR: Self-Supervised Image Denoising via Iterative Data Refinement
| 20
|
cvpr
| 9
| 4
|
2023-06-03 15:12:05.666000
|
https://github.com/zhangyi-3/idr
| 92
|
Idr: Self-supervised image denoising via iterative data refinement
|
https://scholar.google.com/scholar?cluster=12367270937320830051&hl=en&as_sdt=0,33
| 2
| 2,022
|
Is Mapping Necessary for Realistic PointGoal Navigation?
| 12
|
cvpr
| 1
| 1
|
2023-06-03 15:12:05.864000
|
https://github.com/rpartsey/pointgoal-navigation
| 26
|
Is Mapping Necessary for Realistic PointGoal Navigation?
|
https://scholar.google.com/scholar?cluster=10798037831721761839&hl=en&as_sdt=0,18
| 5
| 2,022
|
CSWin Transformer: A General Vision Transformer Backbone With Cross-Shaped Windows
| 370
|
cvpr
| 70
| 29
|
2023-06-03 15:12:06.058000
|
https://github.com/microsoft/CSWin-Transformer
| 444
|
Cswin transformer: A general vision transformer backbone with cross-shaped windows
|
https://scholar.google.com/scholar?cluster=4431453089685809340&hl=en&as_sdt=0,31
| 14
| 2,022
|
Node-Aligned Graph Convolutional Network for Whole-Slide Image Representation and Classification
| 15
|
cvpr
| 4
| 3
|
2023-06-03 15:12:06.252000
|
https://github.com/yohnguan/nagcn
| 13
|
Node-aligned graph convolutional network for whole-slide image representation and classification
|
https://scholar.google.com/scholar?cluster=1360362531401615377&hl=en&as_sdt=0,44
| 2
| 2,022
|
Generating Representative Samples for Few-Shot Classification
| 12
|
cvpr
| 4
| 4
|
2023-06-03 15:12:06.447000
|
https://github.com/cvlab-stonybrook/fsl-rsvae
| 22
|
Generating representative samples for few-shot classification
|
https://scholar.google.com/scholar?cluster=7637142350361596542&hl=en&as_sdt=0,23
| 5
| 2,022
|
Reduce Information Loss in Transformers for Pluralistic Image Inpainting
| 18
|
cvpr
| 10
| 12
|
2023-06-03 15:12:06.641000
|
https://github.com/liuqk3/put
| 121
|
Reduce information loss in transformers for pluralistic image inpainting
|
https://scholar.google.com/scholar?cluster=11378273171717273533&hl=en&as_sdt=0,33
| 6
| 2,022
|
FaceVerse: A Fine-Grained and Detail-Controllable 3D Face Morphable Model From a Hybrid Dataset
| 21
|
cvpr
| 34
| 19
|
2023-06-03 15:12:06.835000
|
https://github.com/lizhenwangt/faceverse
| 282
|
Faceverse: a fine-grained and detail-controllable 3d face morphable model from a hybrid dataset
|
https://scholar.google.com/scholar?cluster=5396647356780098251&hl=en&as_sdt=0,33
| 20
| 2,022
|
Learning To Detect Mobile Objects From LiDAR Scans Without Labels
| 6
|
cvpr
| 11
| 0
|
2023-06-03 15:12:07.030000
|
https://github.com/yurongyou/modest
| 67
|
Learning to detect mobile objects from LiDAR scans without labels
|
https://scholar.google.com/scholar?cluster=16603727928145793930&hl=en&as_sdt=0,5
| 4
| 2,022
|
Occlusion-Robust Face Alignment Using a Viewpoint-Invariant Hierarchical Network Architecture
| 9
|
cvpr
| 0
| 0
|
2023-06-03 15:12:07.232000
|
https://github.com/zhuccly/glomface-face-alignment
| 4
|
Occlusion-robust face alignment using a viewpoint-invariant hierarchical network architecture
|
https://scholar.google.com/scholar?cluster=4101505147024090904&hl=en&as_sdt=0,33
| 1
| 2,022
|
Look Back and Forth: Video Super-Resolution With Explicit Temporal Difference Modeling
| 13
|
cvpr
| 2
| 5
|
2023-06-03 15:12:07.426000
|
https://github.com/junpan19/ETDM
| 21
|
Look back and forth: video super-resolution with explicit temporal difference modeling
|
https://scholar.google.com/scholar?cluster=5067571171321230160&hl=en&as_sdt=0,22
| 1
| 2,022
|
BasicVSR++: Improving Video Super-Resolution With Enhanced Propagation and Alignment
| 157
|
cvpr
| 831
| 47
|
2023-06-03 15:12:07.620000
|
https://github.com/open-mmlab/mmediting
| 4,831
|
BasicVSR++: Improving video super-resolution with enhanced propagation and alignment
|
https://scholar.google.com/scholar?cluster=5012395728633702594&hl=en&as_sdt=0,5
| 93
| 2,022
|
A Stitch in Time Saves Nine: A Train-Time Regularizing Loss for Improved Neural Network Calibration
| 13
|
cvpr
| 5
| 0
|
2023-06-03 15:12:07.814000
|
https://github.com/mdca-loss/mdca-calibration
| 23
|
A stitch in time saves nine: A train-time regularizing loss for improved neural network calibration
|
https://scholar.google.com/scholar?cluster=7650029386959535850&hl=en&as_sdt=0,43
| 1
| 2,022
|
MonoJSG: Joint Semantic and Geometric Cost Volume for Monocular 3D Object Detection
| 17
|
cvpr
| 4
| 4
|
2023-06-03 15:12:08.009000
|
https://github.com/lianqing11/monojsg
| 26
|
Monojsg: Joint semantic and geometric cost volume for monocular 3d object detection
|
https://scholar.google.com/scholar?cluster=883360811947562124&hl=en&as_sdt=0,36
| 8
| 2,022
|
Efficient Classification of Very Large Images With Tiny Objects
| 13
|
cvpr
| 8
| 2
|
2023-06-03 15:12:08.202000
|
https://github.com/timqqt/pytorch-zoom-in-network
| 14
|
Efficient classification of very large images with tiny objects
|
https://scholar.google.com/scholar?cluster=3901059019264442877&hl=en&as_sdt=0,38
| 2
| 2,022
|
EnvEdit: Environment Editing for Vision-and-Language Navigation
| 23
|
cvpr
| 1
| 3
|
2023-06-03 15:12:08.396000
|
https://github.com/jialuli-luka/envedit
| 25
|
Envedit: Environment editing for vision-and-language navigation
|
https://scholar.google.com/scholar?cluster=18427906199760934116&hl=en&as_sdt=0,33
| 1
| 2,022
|
SWEM: Towards Real-Time Video Object Segmentation With Sequential Weighted Expectation-Maximization
| 13
|
cvpr
| 5
| 1
|
2023-06-03 15:12:08.591000
|
https://github.com/lmm077/SWEM
| 22
|
SWEM: Towards Real-Time Video Object Segmentation with Sequential Weighted Expectation-Maximization
|
https://scholar.google.com/scholar?cluster=2748681599667255123&hl=en&as_sdt=0,5
| 1
| 2,022
|
CamLiFlow: Bidirectional Camera-LiDAR Fusion for Joint Optical Flow and Scene Flow Estimation
| 18
|
cvpr
| 16
| 0
|
2023-06-03 15:12:08.785000
|
https://github.com/mcg-nju/camliflow
| 169
|
Camliflow: bidirectional camera-lidar fusion for joint optical flow and scene flow estimation
|
https://scholar.google.com/scholar?cluster=5956757280702342234&hl=en&as_sdt=0,29
| 6
| 2,022
|
Generating Diverse 3D Reconstructions From a Single Occluded Face Image
| 1
|
cvpr
| 1
| 1
|
2023-06-03 15:12:08.979000
|
https://github.com/human-analysis/diverse3dface
| 13
|
Generating Diverse 3D Reconstructions from a Single Occluded Face Image
|
https://scholar.google.com/scholar?cluster=9546018249568825792&hl=en&as_sdt=0,5
| 5
| 2,022
|
BNV-Fusion: Dense 3D Reconstruction Using Bi-Level Neural Volume Fusion
| 7
|
cvpr
| 16
| 2
|
2023-06-03 15:12:09.173000
|
https://github.com/likojack/bnv_fusion
| 119
|
Bnv-fusion: dense 3D reconstruction using bi-level neural volume fusion
|
https://scholar.google.com/scholar?cluster=14606313558077227641&hl=en&as_sdt=0,44
| 6
| 2,022
|
RBGNet: Ray-Based Grouping for 3D Object Detection
| 24
|
cvpr
| 2
| 0
|
2023-06-03 15:12:09.367000
|
https://github.com/haiyang-w/rbgnet
| 30
|
Rbgnet: Ray-based grouping for 3d object detection
|
https://scholar.google.com/scholar?cluster=8309048489827668417&hl=en&as_sdt=0,5
| 2
| 2,022
|
Context-Aware Video Reconstruction for Rolling Shutter Cameras
| 5
|
cvpr
| 4
| 1
|
2023-06-03 15:12:09.561000
|
https://github.com/gitcvfb/cvr
| 28
|
Context-Aware Video Reconstruction for Rolling Shutter Cameras
|
https://scholar.google.com/scholar?cluster=8427580102771448979&hl=en&as_sdt=0,14
| 1
| 2,022
|
Stand-Alone Inter-Frame Attention in Video Models
| 22
|
cvpr
| 0
| 6
|
2023-06-03 15:12:09.755000
|
https://github.com/fuchenustc/sifa
| 26
|
Stand-alone inter-frame attention in video models
|
https://scholar.google.com/scholar?cluster=18361346800836500084&hl=en&as_sdt=0,31
| 2
| 2,022
|
WildNet: Learning Domain Generalized Semantic Segmentation From the Wild
| 21
|
cvpr
| 5
| 2
|
2023-06-03 15:12:09.949000
|
https://github.com/suhyeonlee/wildnet
| 43
|
WildNet: Learning domain generalized semantic segmentation from the wild
|
https://scholar.google.com/scholar?cluster=6566806038357537625&hl=en&as_sdt=0,39
| 5
| 2,022
|
Masked Feature Prediction for Self-Supervised Visual Pre-Training
| 261
|
cvpr
| 1,143
| 348
|
2023-06-03 15:12:10.144000
|
https://github.com/facebookresearch/SlowFast
| 5,685
|
Masked feature prediction for self-supervised visual pre-training
|
https://scholar.google.com/scholar?cluster=12617218192144474322&hl=en&as_sdt=0,5
| 97
| 2,022
|
Robust Contrastive Learning Against Noisy Views
| 29
|
cvpr
| 7
| 3
|
2023-06-03 15:12:10.337000
|
https://github.com/chingyaoc/rince
| 60
|
Robust contrastive learning against noisy views
|
https://scholar.google.com/scholar?cluster=10458213393879693296&hl=en&as_sdt=0,5
| 3
| 2,022
|
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