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Paper Reading List
2021-10-14 23:15:33
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* CVPR, ICML, NIPS, ECCV, ICCV, AAAI, IJCAI 近一年的 best paper # CVPR * [] Privacy-Preserving Image Features via Adversarial Affine Subspace Embeddings * [] Learning Calibrated Medical Image Segmentation via Multi-Rater Agreement Modeling * [x] Diffusion Probabilistic Models for 3D Point Cloud Generation * [] Task Programming: Learning Data Efficient Behavior Representations * [x] PoseAug: A Differentiable Pose Augmentation Framework for 3D Human Pose Estimation * [] SCANimate: Weakly Supervised Learning of Skinned Clothed Avatar Networks * [x] On Self-Contact and Human Pose * [] Binary TTC: A Temporal Geofence for Autonomous Navigation * [] Rethinking and Improving the Robustness of Image Style Transfer * [] Audio-Visual Instance Discrimination with Cross-Modal Agreement * [] Point2Skeleton: Learning Skeletal Representations from Point Clouds * [x] Human POSEitioning System (HPS): 3D Human Pose Estimation and Self-Localization in Large Scenes From Body-Mounted Sensors * [] Where and What? Examining Interpretable Disentangled Representations * [x] Learning To Recover 3D Scene Shape From a Single Image * [x] GIRAFFE: Representing Scenes As Compositional Generative Neural Feature Fields * [] Polygonal Building Extraction by Frame Field Learning * [x] NeuralRecon: Real-Time Coherent 3D Reconstruction From Monocular Video * [] CoCosNet v2: Full-Resolution Correspondence Learning for Image Translation * [] Less Is More: ClipBERT for Video-and-Language Learning via Sparse Sampling * [] Neural Body: Implicit Neural Representations With Structured Latent Codes for Novel View Synthesis of Dynamic Humans * [] Exploring Simple Siamese Representation Learning * [] Guided Interactive Video Object Segmentation Using Reliability-Based Attention Maps * [] GeoSim: Realistic Video Simulation via Geometry-Aware Composition for Self-Driving * [] Neural Lumigraph Rendering * [] Event-Based Synthetic Aperture Imaging With a Hybrid Network * [] Energy-Based Learning for Scene Graph Generation * [] Learning High Fidelity Depths of Dressed Humans by Watching Social Media Dance Videos * [] MP3: A Unified Model To Map, Perceive, Predict and Plan * [x] NeX: Real-Time View Synthesis With Neural Basis Expansion * [] NewtonianVAE: Proportional Control and Goal Identification From Pixels via Physical Latent Spaces * [] Fast End-to-End Learning on Protein Surfaces * [] Real-Time High-Resolution Background Matting # ICML * [] Unbiased Gradient Estimation in Unrolled Computation Graphs with Persistent Evolution Strategies * [] Optimal Complexity in Decentralized Training * [] Oops I Took A Gradient: Scalable Sampling for Discrete Distributions * [] Understanding self-supervised learning dynamics without contrastive pairs * [] Solving high-dimensional parabolic PDEs using the tensor train format # NIPS * [] Improved Guarantees and a Multiple-Descent Curve for Column Subset Selection and the Nyström Method. * [] Language Models are Few-Shot Learners. * [] No-Regret Learning Dynamics for Extensive-Form Correlated Equilibrium. * [] A Group-Theoretic Framework for Data Augmentation * [] A mathematical theory of cooperative communication * [] A shooting formulation of deep learning * [] AI Feynman 2.0: Pareto-optimal symbolic regression exploiting graph modularity * [] Acceleration with a Ball Optimization Oracle * [] Adversarially Robust Streaming Algorithms via Differential Privacy * [] An Efficient Asynchronous Method for Integrating Evolutionary and Gradient-based Policy Search * [] Bias no more: high-probability data-dependent regret bounds for adversarial bandits and MDPs * [] Black-Box Ripper: Copying black-box models using generative evolutionary algorithms * [] Bootstrap Your Own Latent - A New Approach to Self-Supervised Learning * [] Can Temporal-Difference and Q-Learning Learn Representation? A Mean-Field Theory * [] Causal Imitation Learning With Unobserved Confounders * [] Causal Intervention for Weakly-Supervised Semantic Segmentation * [] Compositional Explanations of Neurons * [] Continual Deep Learning by Functional Regularisation of Memorable Past * [] Contrastive learning of global and local features for medical image segmentation with limited annotations * [] Convex optimization based on global lower second-order models * [x] Convolutional Generation of Textured 3D Meshes * [] Coupling-based Invertible Neural Networks Are Universal Diffeomorphism Approximators * [] DVERGE: Diversifying Vulnerabilities for Enhanced Robust Generation of Ensembles * [] Deep Energy-based Modeling of Discrete-Time Physics * [] Deep Transformation-Invariant Clustering * [] Deep Wiener Deconvolution: Wiener Meets Deep Learning for Image Deblurring * [] Differentially Private Clustering: Tight Approximation Ratios * [] Dissecting Neural ODEs * [] Do Adversarially Robust ImageNet Models Transfer Better? * [] Effective Dimension Adaptive Sketching Methods for Faster Regularized Least-Squares Optimization * [] Efficient active learning of sparse halfspaces with arbitrary bounded noise * [] Emergent Complexity and Zero-shot Transfer via Unsupervised Environment Design * [] Entropic Optimal Transport between Unbalanced Gaussian Measures has a Closed Form * [] Equivariant Networks for Hierarchical Structures * [] Erdos Goes Neural: an Unsupervised Learning Framework for Combinatorial Optimization on Graphs * [] Escaping the Gravitational Pull of Softmax * [] Exact Recovery of Mangled Clusters with Same-Cluster Queries * [] FLAMBE: Structural Complexity and Representation Learning of Low Rank MDPs * [] Fair regression via plug-in estimator and recalibration with statistical guarantees * [] Fast and Flexible Temporal Point Processes with Triangular Maps * [] FrugalML: How to use ML Prediction APIs more accurately and cheaply * [] Fully Dynamic Algorithm for Constrained Submodular Optimization * [] Gibbs Sampling with People * [] Glow-TTS: A Generative Flow for Text-to-Speech via Monotonic Alignment Search * [] Gradient Estimation with Stochastic Softmax Tricks * [] Graph Cross Networks with Vertex Infomax Pooling * [] Graph Random Neural Networks for Semi-Supervised Learning on Graphs * [] Greedy inference with structure-exploiting lazy maps * [] Hierarchically Organized Latent Modules for Exploratory Search in Morphogenetic Systems * [] High-Fidelity Generative Image Compression * [] Hogwild!: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent * [] Implicit Neural Representations with Periodic Activation Functions * [] Improved Sample Complexity for Incremental Autonomous Exploration in MDPs * [] Improved Variational Bayesian Phylogenetic Inference with Normalizing Flows * [] Improved guarantees and a multiple-descent curve for Column Subset Selection and the Nystrom method * [] Is normalization indispensable for training deep neural network? * [] Kernel Methods Through the Roof: Handling Billions of Points Efficiently * [] Language Models are Few-Shot Learners * [] Learning Composable Energy Surrogates for PDE Order Reduction * [] Learning Implicit Functions for Topology-Varying Dense 3D Shape Correspondence * [] Learning Individually Inferred Communication for Multi-Agent Cooperation * [] Learning Parities with Neural Networks * [] Learning Physical Graph Representations from Visual Scenes * [] Learning abstract structure for drawing by efficient motor program induction * [] Learning with Operator-valued Kernels in Reproducing Kernel Krein Spaces * [] Leverage the Average: an Analysis of KL Regularization in Reinforcement Learning * [] Locally private non-asymptotic testing of discrete distributions is faster using interactive mechanisms * [] Look-ahead Meta Learning for Continual Learning * [] LoopReg: Self-supervised Learning of Implicit Surface Correspondences, Pose and Shape for 3D Human Mesh Registration * [] Metric-Free Individual Fairness in Online Learning * [] Multi-Task Temporal Shift Attention Networks for On-Device Contactless Vitals Measurement * [] Multi-label Contrastive Predictive Coding * [] Multiscale Deep Equilibrium Models * [] Network-to-Network Translation with Conditional Invertible Neural Networks * [] NeuMiss networks: differentiable programming for supervised learning with missing values. * [] Neural encoding with visual attention * [] No-Regret Learning Dynamics for Extensive-Form Correlated Equilibrium * [] Non-reversible Gaussian processes for identifying latent dynamical structure in neural data * [] Novelty Search in Representational Space for Sample Efficient Exploration * [] On the Modularity of Hypernetworks * [] On the training dynamics of deep networks with $L_2$ regularization * [] Online Sinkhorn: Optimal Transport distances from sample streams * [] Partially View-aligned Clustering * [] Pixel-Level Cycle Association: A New Perspective for Domain Adaptive Semantic Segmentation * [] Point process models for sequence detection in high-dimensional neural spike trains * [] PyGlove: Symbolic Programming for Automated Machine Learning * [x] Reconstructing Perceptive Images from Brain Activity by Shape-Semantic GAN * [] Reservoir Computing meets Recurrent Kernels and Structured Transforms * [] Rethinking Pre-training and Self-training * [] Rewriting History with Inverse RL: Hindsight Inference for Policy Improvement * [] Robust-Adaptive Control of Linear Systems: beyond Quadratic Costs * [] SLIP: Learning to predict in unknown dynamical systems with long-term memory * [] Self-Paced Deep Reinforcement Learning * [] Space-Time Correspondence as a Contrastive Random Walk * [] Spectra of the Conjugate Kernel and Neural Tangent Kernel for linear-width neural networks * [] SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows * [] The Cone of Silence: Speech Separation by Localization * [] The Origins and Prevalence of Texture Bias in Convolutional Neural Networks * [] The Primal-Dual method for Learning Augmented Algorithms * [] The interplay between randomness and structure during learning in RNNs * [] Theory-Inspired Path-Regularized Differential Network Architecture Search * [] Towards a Better Global Loss Landscape of GANs * [x] Training Generative Adversarial Networks with Limited Data * [] Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification * [] Transferable Graph Optimizers for ML Compilers * [] Ultra-Low Precision 4-bit Training of Deep Neural Networks * [] Understanding Approximate Fisher Information for Fast Convergence of Natural Gradient Descent in Wide Neural Networks * [] When and How to Lift the Lockdown? Global COVID-19 Scenario Analysis and Policy Assessment using Compartmental Gaussian Processes * [] Worst-Case Analysis for Randomly Collected Data # ECCV * [] Quaternion Equivariant Capsule Networks for 3D Point Clouds * [] DeepFit: 3D Surface Fitting via Neural Network Weighted Least Squares * [] NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture Search * [] Describing Textures using Natural Language * [] Empowering Relational Network by Self-Attention Augmented Conditional Random Fields for Group Activity Recognition * [] AiR: Attention with Reasoning Capability * [] Self6D: Self-Supervised Monocular 6D Object Pose Estimation * [] Invertible Image Rescaling * [] Synthesize then Compare: Detecting Failures and Anomalies for Semantic Segmentation * [] House-GAN: Relational Generative Adversarial Networks for Graph-constrained House Layout Generation * [] Crowdsampling the Plenoptic Function * [] VoxelPose: Towards Multi-Camera 3D Human Pose Estimation in Wild Environment * [] End-to-End Object Detection with Transformers * [] DeepSFM: Structure From Motion Via Deep Bundle Adjustment * [] Ladybird: Quasi-Monte Carlo Sampling for Deep Implicit Field Based 3D Reconstruction with Symmetry * [] Segment as Points for Efficient Online Multi-Object Tracking and Segmentation * [] Conditional Convolutions for Instance Segmentation * [] MutualNet: Adaptive ConvNet via Mutual Learning from Network Width and Resolution * [] Fashionpedia: Ontology, Segmentation, and an Attribute Localization Dataset * [] Privacy Preserving Structure-from-Motion * [] Rewriting a Deep Generative Model * [] Compare and Reweight: Distinctive Image Captioning Using Similar Images Sets * [] Long-term Human Motion Prediction with Scene Context * [] NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis * [] ReferIt3D: Neural Listeners for Fine-Grained 3D Object Identification in Real-World Scenes * [] MatryODShka: Real-time 6DoF Video View Synthesis using Multi-Sphere Images * [] Learning and Aggregating Deep Local Descriptors for Instance-level Recognition * [] A Consistently Fast and Globally Optimal Solution to the Perspective-n-Point Problem * [] Learn to Recover Visible Color for Video Surveillance in a Day * [] Deep Fashion3D: A Dataset and Benchmark for 3D Garment Reconstruction from Single Images * [] Spatially Adaptive Inference with Stochastic Feature Sampling and Interpolation * [] BorderDet: Border Feature for Dense Object Detection * [] Regularization with Latent Space Virtual Adversarial Training * [] Du$^2$Net: Learning Depth Estimation from Dual-Cameras and Dual-Pixels * [] Model-Agnostic Boundary-Adversarial Sampling for Test-Time Generalization in Few-Shot learning * [] Targeted Attack for Deep Hashing based Retrieval * [] Gradient Centralization: A New Optimization Technique for Deep Neural Networks * [] Content-Aware Unsupervised Deep Homography Estimation * [] Multi-View Optimization of Local Feature Geometry * [] The Phong Surface: Efficient 3D Model Fitting using Lifted Optimization * [] Forecasting Human-Object Interaction: Joint Prediction of Motor Attention and Actions in First Person Video * [] Learning Stereo from Single Images * [] Prototype Rectification for Few-Shot Learning * [] Learning Feature Descriptors using Camera Pose Supervision * [] Semantic Flow for Fast and Accurate Scene Parsing * [] Appearance Consensus Driven Self-Supervised Human Mesh Recovery * [] Diffraction Line Imaging * [] Aligning and Projecting Images to Class-conditional Generative Networks * [] Suppress and Balance: A Simple Gated Network for Salient Object Detection * [] Visual Memorability for Robotic Interestingness via Unsupervised Online Learning * [] Post-Training Piecewise Linear Quantization for Deep Neural Networks * [] Joint Disentangling and Adaptation for Cross-Domain Person Re-Identification * [] In-Home Daily-Life Captioning Using Radio Signals * [] Self-Challenging Improves Cross-Domain Generalization * [] A Competence-aware Curriculum for Visual Concepts Learning via Question Answering * [] Multitask Learning Strengthens Adversarial Robustness * [] S2DNAS: Transforming Static CNN Model for Dynamic Inference via Neural Architecture Search * [] Improving Deep Video Compression by Resolution-adaptive Flow Coding * [] Motion Capture from Internet Videos * [] Appearance-Preserving 3D Convolution for Video-based Person Re-identification * [] Solving the Blind Perspective-n-Point Problem End-To-End With Robust Differentiable Geometric Optimization * [] Exploiting Deep Generative Prior for Versatile Image Restoration and Manipulation * [] Deep Spatial-angular Regularization for Compressive Light Field Reconstruction over Coded Apertures * [] Video-based Remote Physiological Measurement via Cross-verified Feature Disentangling * [] Combining Implicit Function Learning and Parametric Models for 3D Human Reconstruction * [] Orientation-aware Vehicle Re-identification with Semantics-guided Part Attention Network * [] Mining Cross-Image Semantics for Weakly Supervised Semantic Segmentation * [] CoReNet: Coherent 3D Scene Reconstruction from a Single RGB Image * [] Layer-wise Conditioning Analysis in Exploring the Learning Dynamics of DNNs * [] RAFT: Recurrent All-Pairs Field Transforms for Optical Flow * [] Domain-invariant Stereo Matching Networks * [] DeepHandMesh: A Weakly-supervised Deep Encoder-Decoder Framework for High-fidelity Hand Mesh Modeling * [] Content Adaptive and Error Propagation Aware Deep Video Compression * [] Towards Streaming Perception * [] Towards Automated Testing and Robustification by Semantic Adversarial Data Generation * [] Adversarial Generative Grammars for Human Activity Prediction * [] GDumb: A Simple Approach that Questions Our Progress in Continual Learning * [] Learning Lane Graph Representations for Motion Forecasting * [] What Matters in Unsupervised Optical Flow * [] Synthesis and Completion of Facades from Satellite Imagery * [] Mapillary Planet-Scale Depth Dataset * [] V2VNet: Vehicle-to-Vehicle Communication for Joint Perception and Prediction * [] Training Interpretable Convolutional Neural Networks by Differentiating Class-specific Filters * [] EagleEye: Fast Sub-net Evaluation for Efficient Neural Network Pruning * [] Intrinsic Point Cloud Interpolation via Dual Latent Space Navigation * [] Cross-Domain Cascaded Deep Translation * [] "Look Ma, no landmarks!'' -- Unsupervised, Model-based Dense Face Alignment * [] Online Invariance Selection for Local Feature Descriptors * [] Rethinking Image Inpainting via a Mutual Encoder-Decoder with Feature Equalizations * [] TextCaps: a Dataset for Image Captioning with Reading Comprehension * [] It is not the Journey but the Destination: Endpoint Conditioned Trajectory Prediction * [] Learning What to Learn for Video Object Segmentation * [] SIZER: A Dataset and Model for Parsing 3D Clothing and Learning Size Sensitive 3D Clothing * [] LIMP: Learning Latent Shape Representations with Metric Preservation Priors * [] Unsupervised Sketch to Photo Synthesis * [] A Simple Way to Make Neural Networks Robust Against Diverse Image Corruptions * [] SoftPoolNet: Shape Descriptor for Point Cloud Completion and Classification * [] Hierarchical Face Aging through Disentangled Latent Characteristics * [] Hybrid Models for Open Set Recognition * [] TopoGAN: A Topology-Aware Generative Adversarial Network * [] Learning to Localize Actions from Moments * [] ForkGAN: Seeing into the Rainy Night * [] TCGM: An Information-Theoretic Framework for Semi-Supervised Multi-Modality Learning * [] ExchNet: A Unified Hashing Network for Large-Scale Fine-Grained Image Retrieval # ICCV * [] Swin Transformer: Hierarchical Vision Transformer using Shifted Windows * [x] Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fields (多分辨率兼容 nerf) * [] OpenGAN: Open-Set Recognition via Open Data Generation * [] Viewing Graph Solvability via Cycle Consistency * [] Common Objects in 3D: Large-Scale Learning and Evaluation of Real-life 3D Category Reconstruction * [] Pixel-Perfect Structure-from-Motion with Featuremetric Refinement # AAAI # IJCAI
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