{"total":51,"rows":[{"id":"2308.09126","title":"EgoSchema: A Diagnostic Benchmark for Very Long-form Video Language Understanding","created":"2023-08-17","cited_by_count":680,"area":null},{"id":"2303.15361","title":"A Comprehensive Survey on Test-Time Adaptation under Distribution Shifts","created":"2023-03-27","cited_by_count":359,"area":null},{"id":"2209.07522","title":"Test-Time Training with Masked Autoencoders","created":"2022-09-15","cited_by_count":212,"area":null},{"id":"2104.03304","title":"Hand-Object Contact Consistency Reasoning for Human Grasps Generation","created":"2021-04-07","cited_by_count":160,"area":null},{"id":"2104.07645","title":"A-SDF: Learning Disentangled Signed Distance Functions for Articulated Shape Representation","created":"2021-04-15","cited_by_count":114,"area":null},{"id":"2104.07905","title":"Ego-Exo: Transferring Visual Representations from Third-person to First-person Videos","created":"2021-04-16","cited_by_count":99,"area":null},{"id":"2108.08258","title":"LIGA-Stereo: Learning LiDAR Geometry Aware Representations for Stereo-based 3D Detector","created":"2021-08-18","cited_by_count":70,"area":null},{"id":"2504.13173","title":"It's All Connected: A Journey Through Test-Time Memorization, Attentional Bias, Retention, and Online Optimization","created":"2025-04-17","cited_by_count":64,"area":null},{"id":"2512.23675","title":"End-to-End Test-Time Training for Long Context","created":"2025-12-29","cited_by_count":62,"area":null},{"id":"2211.11903","title":"FLEX: Full-Body Grasping Without Full-Body Grasps","created":"2022-11-21","cited_by_count":46,"area":null},{"id":"2107.04520","title":"Online Adaptation to Label Distribution Shift","created":"2021-07-09","cited_by_count":44,"area":null},{"id":"2210.06659","title":"Structural Pruning via Latency-Saliency Knapsack","created":"2022-10-13","cited_by_count":41,"area":null},{"id":"2110.12007","title":"When to Prune? A Policy towards Early Structural Pruning","created":"2021-10-22","cited_by_count":38,"area":null},{"id":"2307.05014","title":"Test-Time Training on Video Streams","created":"2023-07-11","cited_by_count":37,"area":null},{"id":"2406.18937","title":"Federated Graph Semantic and Structural Learning","created":"2024-06-27","cited_by_count":30,"area":null},{"id":"2109.01305","title":"Video Pose Distillation for Few-Shot, Fine-Grained Sports Action Recognition","created":"2021-09-03","cited_by_count":29,"area":null},{"id":"2312.04817","title":"LvBench: A Benchmark for Long-form Video Understanding with Versatile Multi-modal Question Answering","created":"2023-12-08","cited_by_count":25,"area":null},{"id":"2312.08367","title":"ViLA: Efficient Video-Language Alignment for Video Question Answering","created":"2023-12-13","cited_by_count":23,"area":null},{"id":"2102.01393","title":"It's always personal: Using Early Exits for Efficient On-Device CNN Personalisation","created":"2021-02-02","cited_by_count":18,"area":null},{"id":"2310.13807","title":"Learning to (Learn at Test Time)","created":"2023-10-20","cited_by_count":17,"area":null},{"id":"2104.09455","title":"Arithmetic-Intensity-Guided Fault Tolerance for Neural Network Inference on GPUs","created":"2021-04-19","cited_by_count":9,"area":null},{"id":"2108.09376","title":"BlockCopy: High-Resolution Video Processing with Block-Sparse Feature Propagation and Online Policies","created":"2021-08-20","cited_by_count":9,"area":null},{"id":"2110.10811","title":"HALP: Hardware-Aware Latency Pruning","created":"2021-10-20","cited_by_count":8,"area":null},{"id":"2211.13429","title":"UV-Based 3D Hand-Object Reconstruction with Grasp Optimization","created":"2022-11-24","cited_by_count":8,"area":null},{"id":"2309.15467","title":"Enabling Resource-efficient AIoT System with Cross-level Optimization: A survey","created":"2023-09-27","cited_by_count":8,"area":null},{"id":"2403.14353","title":"DaCapo: Accelerating Continuous Learning in Autonomous Systems for Video Analytics","created":"2024-03-21","cited_by_count":8,"area":null},{"id":"2204.12534","title":"AccMPEG: Optimizing Video Encoding for Video Analytics","created":"2022-04-26","cited_by_count":7,"area":null},{"id":"2109.00211","title":"Efficient Person Search: An Anchor-Free Approach","created":"2021-09-01","cited_by_count":5,"area":null},{"id":"2310.18481","title":"MOSEL: Inference Serving Using Dynamic Modality Selection","created":"2023-10-27","cited_by_count":5,"area":null},{"id":"2302.09221","title":"Moby: Empowering 2D Models for Efficient Point Cloud Analytics on the Edge","created":"2023-02-18","cited_by_count":3,"area":null},{"id":"2104.06826","title":"Towards Automatic Model Specialization for Edge Video Analytics","created":"2021-04-14","cited_by_count":2,"area":null},{"id":"2207.00782","title":"Enabling Harmonious Human-Machine Interaction with Visual-Context Augmented Dialogue System: A Review","created":"2022-07-02","cited_by_count":2,"area":null},{"id":"2209.13883","title":"MLink: Linking Black-Box Models from Multiple Domains for Collaborative Inference","created":"2022-09-28","cited_by_count":2,"area":null},{"id":"2401.16694","title":"EdgeOL: Efficient in-situ Online Learning on Edge Devices","created":"2024-01-30","cited_by_count":2,"area":null},{"id":"2404.17930","title":"Multi-Stream Cellular Test-Time Adaptation of Real-Time Models Evolving in Dynamic Environments","created":"2024-04-27","cited_by_count":2,"area":null},{"id":"2604.12110","title":"SOLARIS: Speculative Offloading of Latent-bAsed Representation for Inference Scaling","created":"2026-04-13","cited_by_count":2,"area":null},{"id":"2107.01354","title":"Pool of Experts: Realtime Querying Specialized Knowledge in Massive Neural Networks","created":"2021-07-03","cited_by_count":1,"area":null},{"id":"2309.01612","title":"On the Query Strategies for Efficient Online Active Distillation","created":"2023-09-04","cited_by_count":1,"area":null},{"id":"2402.03545","title":"Online Feature Updates Improve Online (Generalized) Label Shift Adaptation","created":"2024-02-05","cited_by_count":1,"area":null},{"id":"2406.03001","title":"EdgeSync: Faster Edge-model Updating via Adaptive Continuous Learning for Video Data Drift","created":"2024-06-05","cited_by_count":1,"area":null},{"id":"2504.14875","title":"ReSpec: Relevance and Specificity Grounded Online Filtering for Learning on Video-Text Data Streams","created":"2025-04-21","cited_by_count":1,"area":null},{"id":"2209.13873","title":"InFi: End-to-End Learning to Filter Input for Resource-Efficiency in Mobile-Centric Inference","created":"2022-09-28","cited_by_count":0,"area":null},{"id":"2310.04685","title":"Automatic and Efficient Customization of Neural Networks for ML Applications","created":"2023-10-07","cited_by_count":0,"area":null},{"id":"2410.18399","title":"CloudEye: A New Paradigm of Video Analysis System for Mobile Visual Scenarios","created":"2024-10-24","cited_by_count":0,"area":null},{"id":"2504.21136","title":"Legilimens: Performant Video Analytics on the System-on-Chip Edge","created":"2025-04-29","cited_by_count":0,"area":null},{"id":"2505.00745","title":"Responsive DNN Adaptation for Video Analytics against Environment Shift via Hierarchical Mobile-Cloud Collaborations","created":"2025-04-30","cited_by_count":0,"area":null},{"id":"2507.15628","title":"A Survey on Efficiency Optimization Techniques for DNN-based Video Analytics: Process Systems, Algorithms, and Applications","created":"2025-07-21","cited_by_count":0,"area":null},{"id":"2509.00914","title":"TinyMusician: On-Device Music Generation with Knowledge Distillation and Mixed Precision Quantization","created":"2025-08-31","cited_by_count":0,"area":null},{"id":"2510.21781","title":"EdgeSync: Accelerating Edge-Model Updates for Data Drift through Adaptive Continuous Learning","created":"2025-10-18","cited_by_count":0,"area":null},{"id":"2512.11727","title":"ECCO: Leveraging Cross-Camera Correlations for Efficient Live Video Continuous Learning","created":"2025-12-12","cited_by_count":0,"area":null},{"id":"2606.26515","title":"Forget, Anticipate and Adapt: Test Time Training for Long Videos","created":"2026-06-25","cited_by_count":0,"area":null}],"next_cursor":null}