CVPR 2018 跟踪论文纲要(修正于2020年.08.28）
- 讲在前面
- 论文目录
讲在前面
- 论坛上的许多博客对论文进行了总结和分类，但在医学领域，这些论文的筛选信息显然需要更详细的控制，所以他们大致筛选了979篇论文的名称，希望找到一些答案来解决当前的问题。
- 建议直接链接论文Google论文名比去各种论文或者顶会网站快多少。
- 以下是机器翻译，方便我第一次筛选，我会慢慢修改，但现在请结合。如果你感兴趣，请问我处理这些论文并自动翻译脚本。
- Respect！
论文目录
| 论文 | 概要 |
|---|---|
| 1.2D_3D Pose Estimation and Action Recognition Using Multitask Deep Learning | |
| 2.3D Human Pose Estimation in the Wild by Adversarial Learning | |
| 3.3D Human Sensing, Action and Emotion Recognition in Robot Assisted Therapy of Children With Autism | |
| 4.3D Object Detection With Latent Support Surfaces | |
| 5.3D Pose Estimation and 3D Model Retrieval for Objects in the Wild | |
| 6.3D-RCNN: Instance-Level 3D Object Reconstruction via Render-and-Compare | |
| 7.3D Registration of Curves and Surfaces Using Local Differential Information | |
| 8.3D Semantic Segmentation With Submanifold Sparse Convolutional Networks | |
| 9.3D Semantic Trajectory Reconstruction From 3D Pixel Continuum | |
| 10.4DFAB: A Large Scale 4D Database for Facial Expression Analysis and Biometric Applications | |
| 11.4D Human Body Correspondences From Panoramic Depth Maps | |
| 12.A2-RL: Aesthetics Aware Reinforcement Learning for Image Cropping | |
| 13.A Bi-Directional Message Passing Model for Salient Object Detection | |
| 14.A Biresolution Spectral Framework for Product Quantization | |
| 15.A Causal And-Or Graph Model for Visibility Fluent Reasoning in Tracking Interacting Objects | |
| 16.Accurate and Diverse Sampling of Sequences Based on a “Best of Many” Sample Objective | |
| 17.A Certifiably Globally Optimal Solution to the Non-Minimal Relative Pose Problem | |
| 18.A Closer Look at Spatiotemporal Convolutions for Action Recognition | |
| 19.A Common Framework for Interactive Texture Transfer | |
| 20.A Constrained Deep Neural Network for Ordinal Regression | |
| 21.Action Sets: Weakly Supervised Action Segmentation Without Ordering Constraints | |
| 22.Active Fixation Control to Predict Saccade Sequences | |
| 23.Actor and Action Video Segmentation From a Sentence | |
| 24.Actor and Observer: Joint Modeling of First and Third-Person Videos | |
| 25.AdaDepth: Unsupervised Content Congruent Adaptation for Depth Estimation | |
| 26.A Deeper Look at Power Normalizations | |
| 27.Adversarial Complementary Learning for Weakly Supervised Object Localization | |
| 28.Adversarial Data Programming: Using GANs to Relax the Bottleneck of Curated Labeled Data | |
| 29.Adversarial Feature Augmentation for Unsupervised Domain Adaptation | |
| 30.Adversarially Learned One-Class Classifier for Novelty Detection | |
| 31.Adversarially Occluded Samples for Person Re-Identification | |
| 32.A Face-to-Face Neural Conversation Model | |
| 33.A Fast Resection-Intersection Method for the Known Rotation Problem | |
| 34.A Generative Adversarial Approach for Zero-Shot Learning From Noisy Texts | |
| 35.A Hierarchical Generative Model for Eye Image Synthesis and Eye Gaze Estimation | |
| 36.A High-Quality Denoising Dataset for Smartphone Cameras | |
| 37.A Hybrid l1-l0 Layer Decomposition Model for Tone Mapping | |
| 38.Aligning Infinite-Dimensional Covariance Matrices in Reproducing Kernel Hilbert Spaces for Domain Adaptation | |
| 39.Alive Caricature From 2D to 3D | |
| 40.A Low Power, High Throughput, Fully Event-Based Stereo System | |
| 41.Alternating-Stereo VINS: Observability Analysis and Performance Evaluation | |
| 42.A Memory Network Approach for Story-Based Temporal Summarization of 360deg Videos | |
| 43.A Minimalist Approach to Type-Agnostic Detection of Quadrics in Point Clouds | |
| 44.AMNet: Memorability Estimation With Attention | |
| 45.Analysis of Hand Segmentation in the Wild | |
| 46.Analytical Modeling of Vanishing Points and Curves in Catadioptric Cameras | |
| 47.Analytic Expressions for Probabilistic Moments of PL-DNN With Gaussian Input | |
| 48.Analyzing Filters Toward Efficient ConvNet | |
| 49.An Analysis of Scale Invariance in Object Detection SNIP | |
| 50.Anatomical Priors in Convolutional Networks for Unsupervised Biomedical Segmentation |
| 论文 | 概要 |
|---|---|
| 51.An Efficient and Provable Approach for Mixture Proportion Estimation Using Linear Independence Assumption | |
| 52.An End-to-End TextSpotter With Explicit Alignment and Attention | |
| 53.A Network Architecture for Point Cloud Classification via Automatic Depth Images Generation | |
| 54.A Neural Multi-Sequence Alignment TeCHnique (NeuMATCH) | |
| 55.Anticipating Traffic Accidents With Adaptive Loss and Large-Scale Incident DB | |
| 56.An Unsupervised Learning Model for Deformable Medical Image Registration | |
| 57.AON: Towards Arbitrarily-Oriented Text Recognition | |
| 58.A Papier-Mache Approach to Learning 3D Surface Generation | |
| 59.A Perceptual Measure for Deep Single Image Camera Calibration | |
| 60.Aperture Supervision for Monocular Depth Estimation | |
| 61.A PID Controller Approach for Stochastic Optimization of Deep Networks | |
| 62.A Pose-Sensitive Embedding for Person Re-Identification With Expanded Cross Neighborhood Re-Ranking | |
| 63.Appearance-and-Relation Networks for Video Classification | |
| 64.A Prior-Less Method for Multi-Face Tracking in Unconstrained Videos | |
| 65.Arbitrary Style Transfer With Deep Feature Reshuffle | |
| 66.A Revised Underwater Image Formation Model | |
| 67.Are You Talking to Me? Reasoned Visual Dialog Generation Through Adversarial Learning | |
| 68.A Robust Method for Strong Rolling Shutter Effects Correction Using Lines With Automatic Feature Selection | |
| 69.Art of Singular Vectors and Universal Adversarial Perturbations | |
| 70.Attend and Interact: Higher-Order Object Interactions for Video Understanding | |
| 71.Attentional ShapeContextNet for Point Cloud Recognition | |
| 72.Attention-Aware Compositional Network for Person Re-Identification | |
| 73.Attention Clusters: Purely Attention Based Local Feature Integration for Video Classification | |
| 74.Attentive Fashion Grammar Network for Fashion Landmark Detection and Clothing Category Classification | |
| 75.Attentive Generative Adversarial Network for Raindrop Removal From a Single Image | |
| 76.AttnGAN: Fine-Grained Text to Image Generation With Attentional Generative Adversarial Networks | |
| 77.A Twofold Siamese Network for Real-Time Object Tracking | |
| 78.A Two-Step Disentanglement Method | |
| 79.Audio to Body Dynamics | |
| 80.Augmented Skeleton Space Transfer for Depth-Based Hand Pose Estimation | |
| 81.Augmenting Crowd-Sourced 3D Reconstructions Using Semantic Detections | |
| 82.A Unifying Contrast Maximization Framework for Event Cameras, With Applications to Motion, Depth, and Optical Flow Estimation | |
| 83.Automatic 3D Indoor Scene Modeling From Single Panorama | |
| 84.AVA: A Video Dataset of Spatio-Temporally Localized Atomic Visual Actions | |
| 85.A Variational U-Net for Conditional Appearance and Shape Generation | |
| 86.Avatar-Net: Multi-Scale Zero-Shot Style Transfer by Feature Decoration | |
| 87.A Weighted Sparse Sampling and Smoothing Frame Transition Approach for Semantic Fast-Forward First-Person Videos | |
| 88.Baseline Desensitizing in Translation Averaging | |
| 89.Benchmarking 6DOF Outdoor Visual Localization in Changing Conditions | |
| 90.Between-Class Learning for Image Classification | |
| 91.Beyond Grobner Bases: Basis Selection for Minimal Solvers | |
| 92.Beyond Holistic Object Recognition: Enriching Image Understanding With Part States | |
| 93.Beyond the Pixel-Wise Loss for Topology-Aware Delineation | |
| 94.Beyond Trade-Off: Accelerate FCN-Based Face Detector With Higher Accuracy | |
| 95.Bidirectional Attentive Fusion With Context Gating for Dense Video Captioning | |
| 96.Bidirectional Retrieval Made Simple | |
| 97.Bilateral Ordinal Relevance Multi-Instance Regression for Facial Action Unit Intensity Estimation | |
| 98.Blazingly Fast Video Object Segmentation With Pixel-Wise Metric Learning | |
| 99.Blind Predicting Similar Quality Map for Image Quality Assessment | |
| 100.BlockDrop: Dynamic Inference Paths in Residual Networks |
| 论文 | 概要 |
|---|---|
| 101.Boosting Adversarial Attacks With Momentum | |
| 102.Boosting Domain Adaptation by Discovering Latent Domains | |
| 103.Boosting Self-Supervised Learning via Knowledge Transfer | |
| 104.Bootstrapping the Performance of Webly Supervised Semantic Segmentation | |
| 105.Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering | |
| 106.Boundary Flow: A Siamese Network That Predicts Boundary Motion Without Training on Motion | |
| 107.BPGrad: Towards Global Optimality in Deep Learning via Branch and Pruning | |
| 108.Burst Denoising With Kernel Prediction Networks | |
| 109.Camera Pose Estimation With Unknown Principal Point | |
| 110.Camera Style Adaptation for Person Re-Identification | |
| 111.Can Spatiotemporal 3D CNNs Retrace the History of 2D CNNs and ImageNet? | |
| 112.CarFusion: Combining Point Tracking and Part Detection for Dynamic 3D Reconstruction of Vehicles | |
| 113.CartoonGAN: Generative Adversarial Networks for Photo Cartoonization | |
| 114.Cascaded Pyramid Network for Multi-Person Pose Estimation | |
| 115.Cascade R-CNN: Delving Into High Quality Object Detection | |
| 116.Categorizing Concepts With Basic Level for Vision-to-Language | |
| 117.CBMV: A Coalesced Bidirectional Matching Volume for Disparity Estimation | |
| 118.Classification-Driven Dynamic Image Enhancement | |
| 119.Classifier Learning With Prior Probabilities for Facial Action Unit Recognition | |
| 120.ClcNet: Improving the Efficiency of Convolutional Neural Network Using Channel Local Convolutions | |
| 121.CleanNet: Transfer Learning for Scalable Image Classifier Training With Label Noise | |
| 122.CLEAR: Cumulative LEARning for One-Shot One-Class Image Recognition | |
| 123.Clinical Skin Lesion Diagnosis Using Representations Inspired by Dermatologist Criteria | |
| 124.CLIP-Q: Deep Network Compression Learning by In-Parallel Pruning-Quantization | |
| 125.ClusterNet: Detecting Small Objects in Large Scenes by Exploiting Spatio-Temporal Information | |
| 126.CNN Based Learning Using Reflection and Retinex Models for Intrinsic Image Decomposition | |
| 127.CNN Driven Sparse Multi-Level B-Spline Image Registration | |
| 128.CNN in MRF: Video Object Segmentation via Inference in a CNN-Based Higher-Order Spatio-Temporal MRF | |
| 129.COCO-Stuff: Thing and Stuff Classes in Context | |
| 130.CodeSLAM – Learning a Compact, Optimisable Representation for Dense Visual SLAM | |
| 131.Coding Kendall’s Shape Trajectories for 3D Action Recognition | |
| 132.Collaborative and Adversarial Network for Unsupervised Domain Adaptation | |
| 133.Compare and Contrast: Learning Prominent Visual Differences | |
| 134.Compassionately Conservative Balanced Cuts for Image Segmentation | |
| 135.Compressed Video Action Recognition | |
| 136.CondenseNet: An Efficient DenseNet Using Learned Group Convolutions | |
| 137.Conditional Generative Adversarial Network for Structured Domain Adaptation | |
| 138.Conditional Image-to-Image Translation | |
| 139.Conditional Probability Models for Deep Image Compression | |
| 140.Connecting Pixels to Privacy and Utility: Automatic Redaction of Private Information in Images | |
| 141.Consensus Maximization for Semantic Region Correspondences | |
| 142.Content-Sensitive Supervoxels via Uniform Tessellations on Video Manifolds | |
| 143.Context-Aware Deep Feature Compression for High-Speed Visual Tracking | |
| 144.Context-Aware Synthesis for Video Frame Interpolation | |
| 145.Context Contrasted Feature and Gated Multi-Scale Aggregation for Scene Segmentation | |
| 146.Context Embedding Networks | |
| 147.Context Encoding for Semantic Segmentation | |
| 148.Continuous Relaxation of MAP Inference: A Nonconvex Perspective | |
| 149.Controllable Video Generation With Sparse Trajectories | |
| 150.Convolutional Image Captioning |
| 论文 | 概要 |
|---|---|
| 151.Convolutional Neural Networks With Alternately Updated Clique | |
| 152.Convolutional Sequence to Sequence Model for Human Dynamics | |
| 153.Correlation Tracking via Joint Discrimination and Reliability Learning | |
| 154.CosFace: Large Margin Cosine Loss for Deep Face Recognition | |
| 155.Coupled End-to-End Transfer Learning With Generalized Fisher Information | |
| 156.Crafting a Toolchain for Image Restoration by Deep Reinforcement Learning | |
| 157.Creating Capsule Wardrobes From Fashion Images | |
| 158.Cross-Dataset Adaptation for Visual Question Answering | |
| 159.Cross-Domain Self-Supervised Multi-Task Feature Learning Using Synthetic Imagery | |
| 160.Cross-Domain Weakly-Supervised Object Detection Through Progressive Domain Adaptation | |
| 161.Cross-Modal Deep Variational Hand Pose Estimation | |
| 162.Cross-View Image Synthesis Using Conditional GANs | |
| 163.Crowd Counting via Adversarial Cross-Scale Consistency Pursuit | |
| 164.Crowd Counting With Deep Negative Correlation Learning | |
| 165.CRRN: Multi-Scale Guided Concurrent Reflection Removal Network | |
| 166.CSGNet: Neural Shape Parser for Constructive Solid Geometry | |
| 167.CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes | |
| 168.Cube Padding for Weakly-Supervised Saliency Prediction in 360deg Videos | |
| 169.Curve Reconstruction via the Global Statistics of Natural Curves | |
| 170.Customized Image Narrative Generation via Interactive Visual Question Generation and Answering | |
| 171.CVM-Net: Cross-View Matching Network for Image-Based Ground-to-Aerial Geo-Localization | |
| 172.DA-GAN: Instance-Level Image Translation by Deep Attention Generative Adversarial Networks | |
| 173.Data Distillation: Towards Omni-Supervised Learning | |
| 174.DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks | |
| 175.DecideNet: Counting Varying Density Crowds Through Attention Guided Detection and Density Estimation | |
| 176.Decorrelated Batch Normalization | |
| 177.Decoupled Networks | |
| 178.Deep Adversarial Metric Learning | |
| 179.Deep Adversarial Subspace Clustering | |
| 180.Deep Back-Projection Networks for Super-Resolution | |
| 181.Deep Cauchy Hashing for Hamming Space Retrieval | |
| 182.Deep Cocktail Network: Multi-Source Unsupervised Domain Adaptation With Category Shift | |
| 183.Deep Cost-Sensitive and Order-Preserving Feature Learning for Cross-Population Age Estimation | |
| 184.Deep Cross-Media Knowledge Transfer | |
| 185.Deep Density Clustering of Unconstrained Faces | |
| 186.Deep Depth Completion of a Single RGB-D Image | |
| 187.Deep Diffeomorphic Transformer Networks | |
| 188.Deep End-to-End Time-of-Flight Imaging | |
| 189.Deep Extreme Cut: From Extreme Points to Object Segmentation | |
| 190.Deep Face Detector Adaptation Without Negative Transfer or Catastrophic Forgetting | |
| 191.Deep Group-Shuffling Random Walk for Person Re-Identification | |
| 192.Deep Hashing via Discrepancy Minimization | |
| 193.Deep Image Prior | |
| 194.Deep Layer Aggregation | |
| 195.Deep Learning of Graph Matching | |
| 196.Deep Learning Under Privileged Information Using Heteroscedastic Dropout | |
| 197.Deep Lesion Graphs in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-Scale Lesion Database | |
| 198.Deeply Learned Filter Response Functions for Hyperspectral Reconstruction | |
| 199.Deep Marching Cubes: Learning Explicit Surface Representations | |
| 200.Deep Material-Aware Cross-Spectral Stereo Matching |
| 论文 | 概要 |
|---|---|
| 201.Deep Mutual Learning | |
| 202.DeepMVS: Learning Multi-View Stereopsis | |
| 203.Deep Ordinal Regression Network for Monocular Depth Estimation | |
| 204.Deep Parametric Continuous Convolutional Neural Networks | |
| 205.Deep Photo Enhancer: Unpaired Learning for Image Enhancement From Photographs With GANs | |
| 206.Deep Progressive Reinforcement Learning for Skeleton-Based Action Recognition | |
| 207.Deep Regression Forests for Age Estimation | |
| 208.Deep Reinforcement Learning of Region Proposal Networks for Object Detection | |
| 209.Deep Semantic Face Deblurring | |
| 210.Deep Sparse Coding for Invariant Multimodal Halle Berry Neurons | |
| 211.Deep Spatial Feature Reconstruction for Partial Person Re-Identification: Alignment-Free Approach | |
| 212.Deep Spatio-Temporal Random Fields for Efficient Video Segmentation | |
| 213.Deep Texture Manifold for Ground Terrain Recognition | |
| 214.Deep Unsupervised Saliency Detection: A Multiple Noisy Labeling Perspective | |
| 215.Deep Video Super-Resolution Network Using Dynamic Upsampling Filters Without Explicit Motion Compensation | |
| 216.DeepVoting: A Robust and Explainable Deep Network for Semantic Part Detection Under Partial Occlusion | |
| 217.Defense Against Adversarial Attacks Using High-Level Representation Guided Denoiser | |
| 218.Defense Against Universal Adversarial Perturbations | |
| 219.Deflecting Adversarial Attacks With Pixel Deflection | |
| 220.Defocus Blur Detection via Multi-Stream Bottom-Top-Bottom Fully Convolutional Network | |
| 221.Deformable GANs for Pose-Based Human Image Generation | |
| 222.Deformable Shape Completion With Graph Convolutional Autoencoders | |
| 223.Deformation Aware Image Compression | |
| 224.DeLS-3D: Deep Localization and Segmentation With a 3D Semantic Map | |
| 225.Demo2Vec: Reasoning Object Affordances From Online Videos | |
| 226.Dense 3D Regression for Hand Pose Estimation | |
| 227.DenseASPP for Semantic Segmentation in Street Scenes | |
| 228.Dense Decoder Shortcut Connections for Single-Pass Semantic Segmentation | |
| 229.Densely Connected Pyramid Dehazing Network | |
| 230.DensePose: Dense Human Pose Estimation in the Wild | |
| 231.Density Adaptive Point Set Registration | |
| 232.Density-Aware Single Image De-Raining Using a Multi-Stream Dense Network | |
| 233.Depth and Transient Imaging With Compressive SPAD Array Cameras | |
| 234.Depth-Aware Stereo Video Retargeting | |
| 235.Depth-Based 3D Hand Pose Estimation: From Current Achievements to Future Goals | |
| 236.Detach and Adapt: Learning Cross-Domain Disentangled Deep Representation | |
| 237.Detail-Preserving Pooling in Deep Networks | |
| 238.Detect-and-Track: Efficient Pose Estimation in Videos | |
| 239.Detect Globally, Refine Locally: A Novel Approach to Saliency Detection | |
| 240.Detecting and Recognizing Human-Object Interactions | |
| 241.Differential Attention for Visual Question Answering | |
| 242.Dimensionality’s Blessing: Clustering Images by Underlying Distribution | |
| 243.Direction-Aware Spatial Context Features for Shadow Detection | |
| 244.Direct Shape Regression Networks for End-to-End Face Alignment | |
| 245.Discovering Point Lights With Intensity Distance Fields | |
| 246.Discrete-Continuous ADMM for Transductive Inference in Higher-Order MRFs | |
| 247.Discriminability Objective for Training Descriptive Captions | |
| 248.Discriminative Learning of Latent Features for Zero-Shot Recognition | |
| 249.Disentangled Person Image Generation | |
| 250.Disentangling 3D Pose in a Dendritic CNN for Unconstrained 2D Face Alignment |
| 论文 | 概要 |
|---|---|
| 251.Disentangling Factors of Variation by Mixing Them | |
| 252.Disentangling Features in 3D Face Shapes for Joint Face Reconstruction and Recognition | |
| 253.Disentangling Structure and Aesthetics for Style-Aware Image Completion | |
| 254.Distort-and-Recover: Color Enhancement Using Deep Reinforcement Learning | |
| 255.Distributable Consistent Multi-Object Matching | |
| 256.DiverseNet: When One Right Answer Is Not Enough | |
| 257.Diversity Regularized Spatiotemporal Attention for Video-Based Person Re-Identification | |
| 258.Divide and Conquer for Full-Resolution Light Field Deblurring | |
| 259.Divide and Grow: Capturing Huge Diversity in Crowd Images With Incrementally Growing CNN | |
| 260.Document Enhancement Using Visibility Detection | |
| 261.DocUNet: Document Image Unwarping via a Stacked U-Net | |
| 262.Domain Adaptive Faster R-CNN for Object Detection in the Wild | |
| 263.Domain Generalization With Adversarial Feature Learning | |
| 264.Don’t Just Assume; Look and Answer: Overcoming Priors for Visual Question Answering | |
| 265.DOTA: A Large-Scale Dataset for Object Detection in Aerial Images | |
| 266.DoubleFusion: Real-Time Capture of Human Performances With Inner Body Shapes From a Single Depth Sensor | |
| 267.DS*: Tighter Lifting-Free Convex Relaxations for Quadratic Matching Problems*DS ：针对二次匹配问题的更紧的免提凸松弛 | |
| 268.Dual Attention Matching Network for Context-Aware Feature Sequence Based Person Re-Identification | |
| 269.Dual Skipping Networks | |
| 270.Duplex Generative Adversarial Network for Unsupervised Domain Adaptation | |
| 271.DVQA: Understanding Data Visualizations via Question Answering | |
| 272.Dynamic Feature Learning for Partial Face Recognition | |
| 273.Dynamic Few-Shot Visual Learning Without Forgetting | |
| 274.Dynamic Graph Generation Network: Generating Relational Knowledge From Diagrams | |
| 275.Dynamic Scene Deblurring Using Spatially Variant Recurrent Neural Networks | |
| 276.Dynamic-Structured Semantic Propagation Network | |
| 277.Dynamic Video Segmentation Network | |
| 278.Dynamic Zoom-In Network for Fast Object Detection in Large Images | |
| 279.Easy Identification From Better Constraints: Multi-Shot Person Re-Identification From Reference Constraints | |
| 280.Edit Probability for Scene Text Recognition | |
| 281.Efficient and Deep Person Re-Identification Using Multi-Level Similarity | |
| 282.Efficient Diverse Ensemble for Discriminative Co-Tracking | |
| 283.Efficient Interactive Annotation of Segmentation Datasets With Polygon-RNN++ | |
| 284.Efficient Large-Scale Approximate Nearest Neighbor Search on OpenCL FPGA | |
| 285.Efficient Optimization for Rank-Based Loss Functions | |
| 286.Efficient Parametrization of Multi-Domain Deep Neural Networks | |
| 287.Efficient, Sparse Representation of Manifold Distance Matrices for Classical Scaling | |
| 288.Efficient Subpixel Refinement With Symbolic Linear Predictors | |
| 289.Efficient Video Object Segmentation via Network Modulation | |
| 290.Egocentric Activity Recognition on a Budget | |
| 291.Egocentric Basketball Motion Planning From a Single First-Person Image | |
| 292.Eliminating Background-Bias for Robust Person Re-Identification | |
| 293.Embodied Question Answering | |
| 294.Emotional Attention: A Study of Image Sentiment and Visual Attention | |
| 295.Empirical Study of the Topology and Geometry of Deep Networks | |
| 296.Encoding Crowd Interaction With Deep Neural Network for Pedestrian Trajectory Prediction | |
| 297.End-to-End Convolutional Semantic Embeddings | |
| 298.End-to-End Deep Kronecker-Product Matching for Person Re-Identification | |
| 299.End-to-End Dense Video Captioning With Masked Transformer | |
| 300.End-to-End Flow Correlation Tracking With Spatial-Temporal Attention |
| 论文 | 概要 |
|---|---|
| 301.End-to-End Learning of Keypoint Detector and Descriptor for Pose Invariant 3D Matching | |
| 302.End-to-End Learning of Motion Representation for Video Understanding | |
| 303.End-to-End Recovery of Human Shape and Pose | |
| 304.End-to-End Weakly-Supervised Semantic Alignment | |
| 305.Enhancing the Spatial Resolution of Stereo Images Using a Parallax Prior | |
| 306.Environment Upgrade Reinforcement Learning for Non-Differentiable Multi-Stage Pipelines | |
| 307.EPINET: A Fully-Convolutional Neural Network Using Epipolar Geometry for Depth From Light Field Images |