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Mask TextSpotter: An End-to-End Trainable Neural Network for Spotting Text with Arbitrary Shapes | 563 | eccv | 96 | 42 | 2023-06-16 23:55:30.758000 | https://github.com/MhLiao/MaskTextSpotter | 416 | Mask textspotter: An end-to-end trainable neural network for spotting text with arbitrary shapes | https://scholar.google.com/scholar?cluster=3537153192230704531&hl=en&as_sdt=0,5 | 17 | 2,018 |
Deterministic Consensus Maximization with Biconvex Programming | 32 | eccv | 4 | 2 | 2023-06-16 23:55:30.969000 | https://github.com/ZhipengCai/Demo---Deterministic-consensus-maximization-with-biconvex-programming | 11 | Deterministic consensus maximization with biconvex programming | https://scholar.google.com/scholar?cluster=4292317912687886232&hl=en&as_sdt=0,5 | 4 | 2,018 |
Quantized Densely Connected U-Nets for Efficient Landmark Localization | 150 | eccv | 39 | 11 | 2023-06-16 23:55:31.180000 | https://github.com/zhiqiangdon/CU-Net | 222 | Quantized densely connected u-nets for efficient landmark localization | https://scholar.google.com/scholar?cluster=8723635568504904410&hl=en&as_sdt=0,38 | 13 | 2,018 |
Repeatability Is Not Enough: Learning Affine Regions via Discriminability | 181 | eccv | 46 | 3 | 2023-06-16 23:55:31.391000 | https://github.com/ducha-aiki/affnet | 241 | Repeatability is not enough: Learning affine regions via discriminability | https://scholar.google.com/scholar?cluster=14226910740419570959&hl=en&as_sdt=0,5 | 17 | 2,018 |
ADVIO: An Authentic Dataset for Visual-Inertial Odometry | 76 | eccv | 38 | 10 | 2023-06-16 23:55:31.601000 | https://github.com/AaltoVision/ADVIO | 209 | ADVIO: An authentic dataset for visual-inertial odometry | https://scholar.google.com/scholar?cluster=14618513620593447739&hl=en&as_sdt=0,42 | 9 | 2,018 |
Attributes as Operators: Factorizing Unseen Attribute-Object Compositions | 123 | eccv | 16 | 2 | 2023-06-16 23:55:31.813000 | https://github.com/Tushar-N/attributes-as-operators | 63 | Attributes as operators: factorizing unseen attribute-object compositions | https://scholar.google.com/scholar?cluster=11627198158637727139&hl=en&as_sdt=0,11 | 4 | 2,018 |
Generating 3D Faces using Convolutional Mesh Autoencoders | 485 | eccv | 98 | 20 | 2023-06-16 23:55:32.024000 | https://github.com/anuragranj/coma | 424 | Generating 3D faces using convolutional mesh autoencoders | https://scholar.google.com/scholar?cluster=7357268074603147679&hl=en&as_sdt=0,5 | 34 | 2,018 |
Data-Driven Sparse Structure Selection for Deep Neural Networks | 524 | eccv | 5 | 0 | 2023-06-16 23:55:32.235000 | https://github.com/huangzehao/sparse-structure-selection | 39 | Data-driven sparse structure selection for deep neural networks | https://scholar.google.com/scholar?cluster=17407171928050222407&hl=en&as_sdt=0,14 | 3 | 2,018 |
LAPRAN: A Scalable Laplacian Pyramid Reconstructive Adversarial Network for Flexible Compressive Sensing Reconstruction | 53 | eccv | 4 | 1 | 2023-06-16 23:55:32.447000 | https://github.com/PSCLab-ASU/LAPRAN-PyTorch | 8 | Lapran: A scalable laplacian pyramid reconstructive adversarial network for flexible compressive sensing reconstruction | https://scholar.google.com/scholar?cluster=7232900847478305958&hl=en&as_sdt=0,5 | 2 | 2,018 |
Learning Warped Guidance for Blind Face Restoration | 100 | eccv | 11 | 1 | 2023-06-16 23:55:32.659000 | https://github.com/csxmli2016/GFRNet | 95 | Learning warped guidance for blind face restoration | https://scholar.google.com/scholar?cluster=2135603410227164832&hl=en&as_sdt=0,5 | 8 | 2,018 |
Shift-Net: Image Inpainting via Deep Feature Rearrangement | 420 | eccv | 80 | 30 | 2023-06-16 23:55:32.869000 | https://github.com/Zhaoyi-Yan/Shift-Net_pytorch | 355 | Shift-net: Image inpainting via deep feature rearrangement | https://scholar.google.com/scholar?cluster=12909199709571911075&hl=en&as_sdt=0,5 | 13 | 2,018 |
Estimating the Success of Unsupervised Image to Image Translation | 11 | eccv | 3 | 0 | 2023-06-16 23:55:33.081000 | https://github.com/sagiebenaim/gan_bound | 18 | Estimating the success of unsupervised image to image translation | https://scholar.google.com/scholar?cluster=12228389234712563972&hl=en&as_sdt=0,1 | 3 | 2,018 |
Sparsely Aggregated Convolutional Networks | 64 | eccv | 26 | 4 | 2023-06-16 23:55:33.292000 | https://github.com/Lyken17/SparseNet | 127 | Sparsely aggregated convolutional networks | https://scholar.google.com/scholar?cluster=18018235047234605783&hl=en&as_sdt=0,22 | 7 | 2,018 |
Toward Characteristic-Preserving Image-based Virtual Try-On Network | 278 | eccv | 172 | 18 | 2023-06-16 23:55:33.503000 | https://github.com/sergeywong/cp-vton | 421 | Toward characteristic-preserving image-based virtual try-on network | https://scholar.google.com/scholar?cluster=8505438031219592659&hl=en&as_sdt=0,6 | 16 | 2,018 |
A Closed-form Solution to Photorealistic Image Stylization | 387 | eccv | 1,210 | 56 | 2023-06-16 23:55:33.714000 | https://github.com/NVIDIA/FastPhotoStyle | 11,014 | A closed-form solution to photorealistic image stylization | https://scholar.google.com/scholar?cluster=3998372881584054724&hl=en&as_sdt=0,5 | 277 | 2,018 |
Bi-Real Net: Enhancing the Performance of 1-bit CNNs with Improved Representational Capability and Advanced Training Algorithm | 480 | eccv | 38 | 17 | 2023-06-16 23:55:33.926000 | https://github.com/liuzechun/Bi-Real-net | 161 | Bi-real net: Enhancing the performance of 1-bit cnns with improved representational capability and advanced training algorithm | https://scholar.google.com/scholar?cluster=11618306684748410423&hl=en&as_sdt=0,14 | 8 | 2,018 |
Conditional Prior Networks for Optical Flow | 36 | eccv | 1 | 3 | 2023-06-16 23:55:34.138000 | https://github.com/YanchaoYang/Conditional-Prior-Networks | 20 | Conditional prior networks for optical flow | https://scholar.google.com/scholar?cluster=13612783089952575161&hl=en&as_sdt=0,5 | 2 | 2,018 |
Stacked Cross Attention for Image-Text Matching | 930 | eccv | 105 | 19 | 2023-06-16 23:55:34.349000 | https://github.com/kuanghuei/SCAN | 467 | Stacked cross attention for image-text matching | https://scholar.google.com/scholar?cluster=16231211588572724532&hl=en&as_sdt=0,33 | 10 | 2,018 |
The Devil of Face Recognition is in the Noise | 198 | eccv | 67 | 13 | 2023-06-16 23:55:34.560000 | https://github.com/fwang91/IMDb-Face | 422 | The devil of face recognition is in the noise | https://scholar.google.com/scholar?cluster=4982043129055880162&hl=en&as_sdt=0,5 | 34 | 2,018 |
Person Search in Videos with One Portrait Through Visual and Temporal Links | 61 | eccv | 29 | 1 | 2023-06-16 23:55:34.771000 | https://github.com/hqqasw/person-search-PPCC | 157 | Person search in videos with one portrait through visual and temporal links | https://scholar.google.com/scholar?cluster=3082328045180079825&hl=en&as_sdt=0,14 | 10 | 2,018 |
Semi-supervised Adversarial Learning to Generate Photorealistic Face Images of New Identities from 3D Morphable Model | 69 | eccv | 34 | 0 | 2023-06-16 23:55:34.982000 | https://github.com/barisgecer/facegan | 194 | Semi-supervised adversarial learning to generate photorealistic face images of new identities from 3d morphable model | https://scholar.google.com/scholar?cluster=17824311887123970500&hl=en&as_sdt=0,5 | 10 | 2,018 |
Deep Model-Based 6D Pose Refinement in RGB | 150 | eccv | 11 | 3 | 2023-06-16 23:55:35.194000 | https://github.com/fabi92/eccv18-rgb_pose_refinement | 49 | Deep model-based 6d pose refinement in rgb | https://scholar.google.com/scholar?cluster=15165666525406932772&hl=en&as_sdt=0,47 | 12 | 2,018 |
BSN: Boundary Sensitive Network for Temporal Action Proposal Generation | 626 | eccv | 58 | 8 | 2023-06-16 23:55:35.404000 | https://github.com/wzmsltw/BSN-boundary-sensitive-network.pytorch | 241 | Bsn: Boundary sensitive network for temporal action proposal generation | https://scholar.google.com/scholar?cluster=2284253027481047573&hl=en&as_sdt=0,5 | 7 | 2,018 |
Visual Reasoning with Multi-hop Feature Modulation | 22 | eccv | 0 | 1 | 2023-06-16 23:55:35.615000 | https://github.com/GuessWhatGame/referit | 4 | Visual reasoning with multi-hop feature modulation | https://scholar.google.com/scholar?cluster=17349904381942744760&hl=en&as_sdt=0,10 | 4 | 2,018 |
Multiresolution Tree Networks for 3D Point Cloud Processing | 237 | eccv | 7 | 0 | 2023-06-16 23:55:35.826000 | https://github.com/matheusgadelha/MRTNet | 42 | Multiresolution tree networks for 3d point cloud processing | https://scholar.google.com/scholar?cluster=11110567683598189426&hl=en&as_sdt=0,11 | 2 | 2,018 |
DDRNet: Depth Map Denoising and Refinement for Consumer Depth Cameras Using Cascaded CNNs | 68 | eccv | 15 | 2 | 2023-06-16 23:55:36.036000 | https://github.com/neycyanshi/DDRNet | 138 | Ddrnet: Depth map denoising and refinement for consumer depth cameras using cascaded cnns | https://scholar.google.com/scholar?cluster=7378092134524924747&hl=en&as_sdt=0,44 | 11 | 2,018 |
Video Re-localization | 67 | eccv | 17 | 4 | 2023-06-16 23:55:36.248000 | https://github.com/fengyang0317/video_reloc | 78 | Video re-localization | https://scholar.google.com/scholar?cluster=10920264094728832257&hl=en&as_sdt=0,11 | 6 | 2,018 |
Self-produced Guidance for Weakly-supervised Object Localization | 227 | eccv | 25 | 11 | 2023-06-16 23:55:36.459000 | https://github.com/xiaomengyc/SPG | 148 | Self-produced guidance for weakly-supervised object localization | https://scholar.google.com/scholar?cluster=2512369611028449806&hl=en&as_sdt=0,5 | 9 | 2,018 |
Multi-modal Cycle-consistent Generalized Zero-Shot Learning | 369 | eccv | 21 | 2 | 2023-06-16 23:55:36.679000 | https://github.com/rfelixmg/frwgan-eccv18 | 55 | Multi-modal cycle-consistent generalized zero-shot learning | https://scholar.google.com/scholar?cluster=61764259088935736&hl=en&as_sdt=0,5 | 8 | 2,018 |
Generalizing A Person Retrieval Model Hetero- and Homogeneously | 463 | eccv | 31 | 4 | 2023-06-16 23:55:36.893000 | https://github.com/zhunzhong07/HHL | 129 | Generalizing a person retrieval model hetero-and homogeneously | https://scholar.google.com/scholar?cluster=15527730131190693987&hl=en&as_sdt=0,43 | 6 | 2,018 |
Fighting Fake News: Image Splice Detection via Learned Self-Consistency | 355 | eccv | 43 | 9 | 2023-06-16 23:55:37.105000 | https://github.com/minyoungg/selfconsistency | 177 | Fighting fake news: Image splice detection via learned self-consistency | https://scholar.google.com/scholar?cluster=16441872986118182453&hl=en&as_sdt=0,33 | 11 | 2,018 |
Receptive Field Block Net for Accurate and Fast Object Detection | 1,215 | eccv | 360 | 57 | 2023-06-16 23:55:37.316000 | https://github.com/ruinmessi/RFBNet | 1,393 | Receptive field block net for accurate and fast object detection | https://scholar.google.com/scholar?cluster=17707966079671814827&hl=en&as_sdt=0,33 | 47 | 2,018 |
Weakly-supervised Video Summarization using Variational Encoder-Decoder and Web Prior | 70 | eccv | 0 | 2 | 2023-06-16 23:55:37.528000 | https://github.com/cssjcai/vesd | 10 | Weakly-supervised video summarization using variational encoder-decoder and web prior | https://scholar.google.com/scholar?cluster=9256080473361800934&hl=en&as_sdt=0,5 | 9 | 2,018 |
Deep High Dynamic Range Imaging with Large Foreground Motions | 209 | eccv | 38 | 2 | 2023-06-16 23:55:37.739000 | https://github.com/elliottwu/DeepHDR | 172 | Deep high dynamic range imaging with large foreground motions | https://scholar.google.com/scholar?cluster=17997707085476439964&hl=en&as_sdt=0,47 | 10 | 2,018 |
Hierarchical Relational Networks for Group Activity Recognition and Retrieval | 112 | eccv | 9 | 1 | 2023-06-16 23:55:37.951000 | https://github.com/mostafa-saad/hierarchical-relational-network | 44 | Hierarchical relational networks for group activity recognition and retrieval | https://scholar.google.com/scholar?cluster=2996130825866411769&hl=en&as_sdt=0,14 | 6 | 2,018 |
Action Search: Spotting Actions in Videos and Its Application to Temporal Action Localization | 88 | eccv | 0 | 0 | 2023-06-16 23:55:38.162000 | https://github.com/HumamAlwassel/action-search | 15 | Action search: Spotting actions in videos and its application to temporal action localization | https://scholar.google.com/scholar?cluster=2315724837598657489&hl=en&as_sdt=0,34 | 2 | 2,018 |
Simple Baselines for Human Pose Estimation and Tracking | 1,584 | eccv | 7 | 0 | 2023-06-16 23:55:38.373000 | https://github.com/leoxiaobin/pose.pytorch | 74 | Simple baselines for human pose estimation and tracking | https://scholar.google.com/scholar?cluster=16372249111646534211&hl=en&as_sdt=0,5 | 20 | 2,018 |
Clustering Convolutional Kernels to Compress Deep Neural Networks | 79 | eccv | 3 | 0 | 2023-06-16 23:55:38.585000 | https://github.com/sanghyun-son/clustering-kernels | 30 | Clustering convolutional kernels to compress deep neural networks | https://scholar.google.com/scholar?cluster=12419171226701641771&hl=en&as_sdt=0,44 | 2 | 2,018 |
CornerNet: Detecting Objects as Paired Keypoints | 3,315 | eccv | 477 | 133 | 2023-06-16 23:55:38.796000 | https://github.com/princeton-vl/CornerNet | 2,334 | Cornernet: Detecting objects as paired keypoints | https://scholar.google.com/scholar?cluster=5999650257677576183&hl=en&as_sdt=0,5 | 62 | 2,018 |
Choose Your Neuron: Incorporating Domain Knowledge through Neuron-Importance | 42 | eccv | 10 | 1 | 2023-06-16 23:55:39.007000 | https://github.com/ramprs/neuron-importance-zsl | 57 | Choose your neuron: Incorporating domain knowledge through neuron-importance | https://scholar.google.com/scholar?cluster=11966532585080079409&hl=en&as_sdt=0,47 | 5 | 2,018 |
Visual Question Generation for Class Acquisition of Unknown Objects | 16 | eccv | 4 | 0 | 2023-06-16 23:55:39.219000 | https://github.com/mil-tokyo/vqg-unknown | 10 | Visual question generation for class acquisition of unknown objects | https://scholar.google.com/scholar?cluster=15532793729573101805&hl=en&as_sdt=0,21 | 16 | 2,018 |
Pairwise Confusion for Fine-Grained Visual Classification | 193 | eccv | 39 | 3 | 2023-06-16 23:55:39.431000 | https://github.com/abhimanyudubey/confusion | 196 | Pairwise confusion for fine-grained visual classification | https://scholar.google.com/scholar?cluster=4225334889143437735&hl=en&as_sdt=0,31 | 7 | 2,018 |
Deep Recursive HDRI: Inverse Tone Mapping using Generative Adversarial Networks | 103 | eccv | 1 | 2 | 2023-06-16 23:55:39.651000 | https://github.com/Siyeong-Lee/Deep_Recursive_HDRI | 17 | Deep recursive hdri: Inverse tone mapping using generative adversarial networks | https://scholar.google.com/scholar?cluster=13565930299432705431&hl=en&as_sdt=0,33 | 2 | 2,018 |
Implicit 3D Orientation Learning for 6D Object Detection from RGB Images | 543 | eccv | 91 | 2 | 2023-06-16 23:55:39.863000 | https://github.com/DLR-RM/AugmentedAutoencoder | 316 | Implicit 3d orientation learning for 6d object detection from rgb images | https://scholar.google.com/scholar?cluster=7729841025223671845&hl=en&as_sdt=0,48 | 15 | 2,018 |
Compressing the Input for CNNs with the First-Order Scattering Transform | 31 | eccv | 2 | 1 | 2023-06-16 23:55:40.074000 | https://github.com/edouardoyallon/pyscatlight | 9 | Compressing the input for cnns with the first-order scattering transform | https://scholar.google.com/scholar?cluster=16128832336651542063&hl=en&as_sdt=0,47 | 5 | 2,018 |
Unified Perceptual Parsing for Scene Understanding | 964 | eccv | 69 | 13 | 2023-06-16 23:55:40.286000 | https://github.com/CSAILVision/unifiedparsing | 371 | Unified perceptual parsing for scene understanding | https://scholar.google.com/scholar?cluster=7624463121009759752&hl=en&as_sdt=0,5 | 31 | 2,018 |
Two at Once: Enhancing Learning and Generalization Capacities via IBN-Net | 571 | eccv | 117 | 14 | 2023-06-16 23:55:40.497000 | https://github.com/XingangPan/IBN-Net | 761 | Two at once: Enhancing learning and generalization capacities via ibn-net | https://scholar.google.com/scholar?cluster=12108818558057639369&hl=en&as_sdt=0,5 | 20 | 2,018 |
Learning Type-Aware Embeddings for Fashion Compatibility | 219 | eccv | 42 | 16 | 2023-06-16 23:55:40.707000 | https://github.com/mvasil/fashion-compatibility | 134 | Learning type-aware embeddings for fashion compatibility | https://scholar.google.com/scholar?cluster=4893895307388417428&hl=en&as_sdt=0,15 | 8 | 2,018 |
Image Inpainting for Irregular Holes Using Partial Convolutions | 1,775 | eccv | 211 | 26 | 2023-06-16 23:55:40.919000 | https://github.com/NVIDIA/partialconv | 1,138 | Image inpainting for irregular holes using partial convolutions | https://scholar.google.com/scholar?cluster=13570032890679637624&hl=en&as_sdt=0,33 | 35 | 2,018 |
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation | 10,656 | eccv | 46,279 | 1,207 | 2023-06-16 23:55:41.132000 | https://github.com/tensorflow/models | 75,921 | Encoder-decoder with atrous separable convolution for semantic image segmentation | https://scholar.google.com/scholar?cluster=5370440400011509498&hl=en&as_sdt=0,43 | 2,774 | 2,018 |
W-TALC: Weakly-supervised Temporal Activity Localization and Classification | 299 | eccv | 26 | 12 | 2023-06-16 23:55:41.343000 | https://github.com/sujoyp/wtalc-pytorch | 126 | W-talc: Weakly-supervised temporal activity localization and classification | https://scholar.google.com/scholar?cluster=15163808419344516354&hl=en&as_sdt=0,33 | 5 | 2,018 |
Asynchronous, Photometric Feature Tracking using Events and Frames | 128 | eccv | 31 | 3 | 2023-06-16 23:55:41.554000 | https://github.com/uzh-rpg/rpg_eklt | 110 | Asynchronous, photometric feature tracking using events and frames | https://scholar.google.com/scholar?cluster=4703945787385512&hl=en&as_sdt=0,5 | 14 | 2,018 |
Factorizable Net: An Efficient Subgraph-based Framework for Scene Graph Generation | 289 | eccv | 38 | 14 | 2023-06-16 23:55:41.766000 | https://github.com/yikang-li/FactorizableNet | 211 | Factorizable net: an efficient subgraph-based framework for scene graph generation | https://scholar.google.com/scholar?cluster=8979043837696997695&hl=en&as_sdt=0,14 | 8 | 2,018 |
LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks | 651 | eccv | 66 | 5 | 2023-06-16 23:55:41.978000 | https://github.com/Microsoft/LQ-Nets | 226 | Lq-nets: Learned quantization for highly accurate and compact deep neural networks | https://scholar.google.com/scholar?cluster=3426009727719019497&hl=en&as_sdt=0,5 | 17 | 2,018 |
Deep Randomized Ensembles for Metric Learning | 110 | eccv | 14 | 2 | 2023-06-16 23:55:42.189000 | https://github.com/littleredxh/DREML | 67 | Deep randomized ensembles for metric learning | https://scholar.google.com/scholar?cluster=3555520024083710651&hl=en&as_sdt=0,43 | 7 | 2,018 |
ECO: Efficient Convolutional Network for Online Video Understanding | 504 | eccv | 96 | 5 | 2023-06-16 23:55:42.401000 | https://github.com/mzolfaghari/ECO-efficient-video-understanding | 428 | Eco: Efficient convolutional network for online video understanding | https://scholar.google.com/scholar?cluster=10960896672902242638&hl=en&as_sdt=0,5 | 40 | 2,018 |
Stereo relative pose from line and point feature triplets | 14 | eccv | 0 | 0 | 2023-06-16 23:55:42.613000 | https://github.com/alexandervakhitov/sego-paper-code | 2 | Stereo relative pose from line and point feature triplets | https://scholar.google.com/scholar?cluster=10920537995535353213&hl=en&as_sdt=0,46 | 1 | 2,018 |
Learning to Zoom: a Saliency-Based Sampling Layer for Neural Networks | 119 | eccv | 23 | 3 | 2023-06-16 23:55:42.824000 | https://github.com/recasens/Saliency-Sampler | 152 | Learning to zoom: a saliency-based sampling layer for neural networks | https://scholar.google.com/scholar?cluster=1561037491831749107&hl=en&as_sdt=0,9 | 4 | 2,018 |
Riemannian Walk for Incremental Learning: Understanding Forgetting and Intransigence | 736 | eccv | 41 | 6 | 2023-06-16 23:55:43.036000 | https://github.com/facebookresearch/agem | 188 | Riemannian walk for incremental learning: Understanding forgetting and intransigence | https://scholar.google.com/scholar?cluster=4026195560787576416&hl=en&as_sdt=0,41 | 11 | 2,018 |
ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation | 710 | eccv | 112 | 8 | 2023-06-16 23:55:43.247000 | https://github.com/sacmehta/ESPNet | 519 | Espnet: Efficient spatial pyramid of dilated convolutions for semantic segmentation | https://scholar.google.com/scholar?cluster=11517977191335408434&hl=en&as_sdt=0,5 | 13 | 2,018 |
ICNet for Real-Time Semantic Segmentation on High-Resolution Images | 1,301 | eccv | 199 | 27 | 2023-06-16 23:55:43.458000 | https://github.com/hszhao/ICNet | 591 | Icnet for real-time semantic segmentation on high-resolution images | https://scholar.google.com/scholar?cluster=4797791240153082941&hl=en&as_sdt=0,31 | 48 | 2,018 |
Learning Efficient Single-stage Pedestrian Detectors by Asymptotic Localization Fitting | 238 | eccv | 36 | 0 | 2023-06-16 23:55:43.668000 | https://github.com/VideoObjectSearch/ALFNet | 84 | Learning efficient single-stage pedestrian detectors by asymptotic localization fitting | https://scholar.google.com/scholar?cluster=11222490521494349722&hl=en&as_sdt=0,3 | 2 | 2,018 |
3DFeat-Net: Weakly Supervised Local 3D Features for Point Cloud Registration | 280 | eccv | 46 | 1 | 2023-06-16 23:55:43.879000 | https://github.com/yewzijian/3DFeatNet | 213 | 3dfeat-net: Weakly supervised local 3d features for point cloud registration | https://scholar.google.com/scholar?cluster=1523813137015825736&hl=en&as_sdt=0,44 | 19 | 2,018 |
Learning Human-Object Interactions by Graph Parsing Neural Networks | 494 | eccv | 54 | 16 | 2023-06-16 23:55:44.090000 | https://github.com/SiyuanQi/gpnn | 223 | Learning human-object interactions by graph parsing neural networks | https://scholar.google.com/scholar?cluster=10430461003414485356&hl=en&as_sdt=0,5 | 13 | 2,018 |
Geolocation Estimation of Photos using a Hierarchical Model and Scene Classification | 59 | eccv | 26 | 2 | 2023-06-16 23:55:44.301000 | https://github.com/TIBHannover/GeoEstimation | 85 | Geolocation estimation of photos using a hierarchical model and scene classification | https://scholar.google.com/scholar?cluster=17539665549069158810&hl=en&as_sdt=0,1 | 8 | 2,018 |
Multi-scale Residual Network for Image Super-Resolution | 641 | eccv | 58 | 2 | 2023-06-16 23:55:44.512000 | https://github.com/MIVRC/MSRN-PyTorch | 283 | Multi-scale residual network for image super-resolution | https://scholar.google.com/scholar?cluster=1889935112564144187&hl=en&as_sdt=0,47 | 11 | 2,018 |
A Modulation Module for Multi-task Learning with Applications in Image Retrieval | 105 | eccv | 8 | 1 | 2023-06-16 23:55:44.723000 | https://github.com/Zhaoxiangyun/Multi-Task-Modulation-Module | 29 | A modulation module for multi-task learning with applications in image retrieval | https://scholar.google.com/scholar?cluster=4124839274668983312&hl=en&as_sdt=0,5 | 8 | 2,018 |
Triplet Loss in Siamese Network for Object Tracking | 544 | eccv | 17 | 4 | 2023-06-16 23:55:44.935000 | https://github.com/shenjianbing/TripletTracking | 73 | Triplet loss in siamese network for object tracking | https://scholar.google.com/scholar?cluster=14601093234970980253&hl=en&as_sdt=0,5 | 11 | 2,018 |
ELEGANT: Exchanging Latent Encodings with GAN for Transferring Multiple Face Attributes | 184 | eccv | 43 | 7 | 2023-06-16 23:55:45.146000 | https://github.com/Prinsphield/ELEGANT | 263 | Elegant: Exchanging latent encodings with gan for transferring multiple face attributes | https://scholar.google.com/scholar?cluster=17637222949126620423&hl=en&as_sdt=0,10 | 10 | 2,018 |
Coloring with Words: Guiding Image Colorization Through Text-based Palette Generation | 78 | eccv | 28 | 4 | 2023-06-16 23:55:45.357000 | https://github.com/awesome-davian/Text2Colors | 145 | Coloring with words: Guiding image colorization through text-based palette generation | https://scholar.google.com/scholar?cluster=508233184644091396&hl=en&as_sdt=0,34 | 2 | 2,018 |
Variational Wasserstein Clustering | 44 | eccv | 3 | 0 | 2023-06-16 23:55:45.568000 | https://github.com/icemiliang/vot | 6 | Variational wasserstein clustering | https://scholar.google.com/scholar?cluster=1321628383156996431&hl=en&as_sdt=0,47 | 4 | 2,018 |
Diagnosing Error in Temporal Action Detectors | 84 | eccv | 19 | 0 | 2023-06-16 23:55:45.779000 | https://github.com/HumamAlwassel/DETAD | 59 | Diagnosing error in temporal action detectors | https://scholar.google.com/scholar?cluster=5337171087786136227&hl=en&as_sdt=0,44 | 6 | 2,018 |
Efficient Semantic Scene Completion Network with Spatial Group Convolution | 70 | eccv | 7 | 1 | 2023-06-16 23:55:45.990000 | https://github.com/zjhthu/SGC-Release | 42 | Efficient semantic scene completion network with spatial group convolution | https://scholar.google.com/scholar?cluster=13896431120284365470&hl=en&as_sdt=0,36 | 2 | 2,018 |
Macro-Micro Adversarial Network for Human Parsing | 141 | eccv | 35 | 7 | 2023-06-16 23:55:46.201000 | https://github.com/RoyalVane/MMAN | 208 | Macro-micro adversarial network for human parsing | https://scholar.google.com/scholar?cluster=14930739577336981642&hl=en&as_sdt=0,11 | 12 | 2,018 |
SketchyScene: Richly-Annotated Scene Sketches | 53 | eccv | 22 | 1 | 2023-06-16 23:55:46.413000 | https://github.com/SketchyScene/SketchyScene | 93 | Sketchyscene: Richly-annotated scene sketches | https://scholar.google.com/scholar?cluster=8715577846603708273&hl=en&as_sdt=0,5 | 7 | 2,018 |
Contour Knowledge Transfer for Salient Object Detection | 288 | eccv | 7 | 4 | 2023-06-16 23:55:46.625000 | https://github.com/lixin666/C2SNet | 21 | Contour knowledge transfer for salient object detection | https://scholar.google.com/scholar?cluster=13596246652369619853&hl=en&as_sdt=0,23 | 2 | 2,018 |
GANimation: Anatomically-aware Facial Animation from a Single Image | 563 | eccv | 405 | 43 | 2023-06-16 23:55:46.836000 | https://github.com/albertpumarola/GANimation | 1,875 | Ganimation: Anatomically-aware facial animation from a single image | https://scholar.google.com/scholar?cluster=15397536897136412791&hl=en&as_sdt=0,39 | 76 | 2,018 |
Interpretable Basis Decomposition for Visual Explanation | 251 | eccv | 12 | 3 | 2023-06-16 23:55:47.048000 | https://github.com/CSAILVision/IBD | 48 | Interpretable basis decomposition for visual explanation | https://scholar.google.com/scholar?cluster=17221817189442156654&hl=en&as_sdt=0,31 | 6 | 2,018 |
Deep Directional Statistics: Pose Estimation with Uncertainty Quantification | 89 | eccv | 6 | 0 | 2023-06-16 23:55:47.261000 | https://github.com/sergeyprokudin/deep_direct_stat | 24 | Deep directional statistics: Pose estimation with uncertainty quantification | https://scholar.google.com/scholar?cluster=9539003849820712184&hl=en&as_sdt=0,5 | 4 | 2,018 |
Decouple Learning for Parameterized Image Operators | 56 | eccv | 10 | 1 | 2023-06-16 23:55:47.472000 | https://github.com/fqnchina/DecoupleLearning | 61 | Decouple learning for parameterized image operators | https://scholar.google.com/scholar?cluster=10946920911350547430&hl=en&as_sdt=0,5 | 4 | 2,018 |
Pose-Normalized Image Generation for Person Re-identification | 450 | eccv | 39 | 0 | 2023-06-16 23:55:47.684000 | https://github.com/naiq/PN_GAN | 136 | Pose-normalized image generation for person re-identification | https://scholar.google.com/scholar?cluster=15077486839262294602&hl=en&as_sdt=0,10 | 10 | 2,018 |
ReenactGAN: Learning to Reenact Faces via Boundary Transfer | 179 | eccv | 41 | 11 | 2023-06-16 23:55:47.895000 | https://github.com/wywu/ReenactGAN | 183 | Reenactgan: Learning to reenact faces via boundary transfer | https://scholar.google.com/scholar?cluster=14279350909850753234&hl=en&as_sdt=0,5 | 12 | 2,018 |
DeepFit: 3D Surface Fitting via Neural Network Weighted Least Squares | 45 | eccv | 22 | 1 | 2023-06-17 00:17:45.481000 | https://github.com/sitzikbs/DeepFit | 121 | DeepFit: 3D surface fitting via neural network weighted least squares | https://scholar.google.com/scholar?cluster=10456104335954104816&hl=en&as_sdt=0,3 | 7 | 2,020 |
NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture Search | 120 | eccv | 36 | 16 | 2023-06-17 00:17:45.692000 | https://github.com/mikelzc1990/nsganetv2 | 123 | Nsganetv2: Evolutionary multi-objective surrogate-assisted neural architecture search | https://scholar.google.com/scholar?cluster=14365548612592408605&hl=en&as_sdt=0,48 | 3 | 2,020 |
AiR: Attention with Reasoning Capability | 20 | eccv | 5 | 0 | 2023-06-17 00:17:45.905000 | https://github.com/szzexpoi/AiR | 42 | Air: Attention with reasoning capability | https://scholar.google.com/scholar?cluster=17537398935505742003&hl=en&as_sdt=0,10 | 1 | 2,020 |
Self6D: Self-Supervised Monocular 6D Object Pose Estimation | 94 | eccv | 16 | 1 | 2023-06-17 00:17:46.132000 | https://github.com/THU-DA-6D-Pose-Group/Self6D-Diff-Renderer | 98 | Self6d: Self-supervised monocular 6d object pose estimation | https://scholar.google.com/scholar?cluster=6319219398403719659&hl=en&as_sdt=0,41 | 6 | 2,020 |
Invertible Image Rescaling | 140 | eccv | 86 | 27 | 2023-06-17 00:17:46.344000 | https://github.com/pkuxmq/Invertible-Image-Rescaling | 575 | Invertible image rescaling | https://scholar.google.com/scholar?cluster=8259694236280829797&hl=en&as_sdt=0,5 | 17 | 2,020 |
Synthesize then Compare: Detecting Failures and Anomalies for Semantic Segmentation | 99 | eccv | 8 | 6 | 2023-06-17 00:17:46.587000 | https://github.com/YingdaXia/SynthCP | 56 | Synthesize then compare: Detecting failures and anomalies for semantic segmentation | https://scholar.google.com/scholar?cluster=13185305449171460350&hl=en&as_sdt=0,5 | 6 | 2,020 |
VoxelPose: Towards Multi-Camera 3D Human Pose Estimation in Wild Environment | 97 | eccv | 81 | 39 | 2023-06-17 00:17:46.810000 | https://github.com/microsoft/voxelpose-pytorch | 396 | Voxelpose: Towards multi-camera 3d human pose estimation in wild environment | https://scholar.google.com/scholar?cluster=6897562467519549173&hl=en&as_sdt=0,5 | 24 | 2,020 |
End-to-End Object Detection with Transformers | 6,498 | eccv | 2,035 | 223 | 2023-06-17 00:17:47.021000 | https://github.com/facebookresearch/detr | 11,190 | End-to-end object detection with transformers | https://scholar.google.com/scholar?cluster=1672665553767281734&hl=en&as_sdt=0,5 | 146 | 2,020 |
Segment as Points for Efficient Online Multi-Object Tracking and Segmentation | 70 | eccv | 46 | 17 | 2023-06-17 00:17:47.232000 | https://github.com/detectRecog/PointTrack | 256 | Segment as points for efficient online multi-object tracking and segmentation | https://scholar.google.com/scholar?cluster=8044121534115806381&hl=en&as_sdt=0,44 | 17 | 2,020 |
Conditional Convolutions for Instance Segmentation | 421 | eccv | 635 | 291 | 2023-06-17 00:17:47.443000 | https://github.com/aim-uofa/AdelaiDet | 3,151 | Conditional convolutions for instance segmentation | https://scholar.google.com/scholar?cluster=12541147144211358106&hl=en&as_sdt=0,5 | 86 | 2,020 |
MutualNet: Adaptive ConvNet via Mutual Learning from Network Width and Resolution | 68 | eccv | 33 | 2 | 2023-06-17 00:17:47.655000 | https://github.com/taoyang1122/MutualNet | 153 | Mutualnet: Adaptive convnet via mutual learning from network width and resolution | https://scholar.google.com/scholar?cluster=13502072080557203486&hl=en&as_sdt=0,22 | 8 | 2,020 |
Rewriting a Deep Generative Model | 86 | eccv | 74 | 7 | 2023-06-17 00:17:47.867000 | https://github.com/davidbau/rewriting | 534 | Rewriting a deep generative model | https://scholar.google.com/scholar?cluster=8376346966151872875&hl=en&as_sdt=0,15 | 20 | 2,020 |
Long-term Human Motion Prediction with Scene Context | 134 | eccv | 17 | 7 | 2023-06-17 00:17:48.078000 | https://github.com/ZheC/GTA-IM-Dataset | 226 | Long-term human motion prediction with scene context | https://scholar.google.com/scholar?cluster=5087686040073754886&hl=en&as_sdt=0,44 | 13 | 2,020 |
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis | 3,251 | eccv | 1,137 | 98 | 2023-06-17 00:17:48.289000 | https://github.com/bmild/nerf | 7,744 | Nerf: Representing scenes as neural radiance fields for view synthesis | https://scholar.google.com/scholar?cluster=14862000915171929687&hl=en&as_sdt=0,5 | 137 | 2,020 |
ReferIt3D: Neural Listeners for Fine-Grained 3D Object Identification in Real-World Scenes | 101 | eccv | 13 | 4 | 2023-06-17 00:17:48.500000 | https://github.com/referit3d/referit3d | 76 | Referit3d: Neural listeners for fine-grained 3d object identification in real-world scenes | https://scholar.google.com/scholar?cluster=16275930031096682017&hl=en&as_sdt=0,47 | 3 | 2,020 |
MatryODShka: Real-time 6DoF Video View Synthesis using Multi-Sphere Images | 71 | eccv | 14 | 1 | 2023-06-17 00:17:48.711000 | https://github.com/brownvc/matryodshka | 81 | MatryODShka: Real-time 6DoF video view synthesis using multi-sphere images | https://scholar.google.com/scholar?cluster=10989159617796509767&hl=en&as_sdt=0,33 | 18 | 2,020 |
Learning and Aggregating Deep Local Descriptors for Instance-level Recognition | 73 | eccv | 9 | 1 | 2023-06-17 00:17:48.921000 | https://github.com/gtolias/how | 80 | Learning and aggregating deep local descriptors for instance-level recognition | https://scholar.google.com/scholar?cluster=194520734846708730&hl=en&as_sdt=0,5 | 9 | 2,020 |
A Consistently Fast and Globally Optimal Solution to the Perspective-n-Point Problem | 44 | eccv | 17 | 1 | 2023-06-17 00:17:49.133000 | https://github.com/terzakig/sqpnp | 110 | A consistently fast and globally optimal solution to the perspective-n-point problem | https://scholar.google.com/scholar?cluster=13709100810172483109&hl=en&as_sdt=0,33 | 10 | 2,020 |
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