Han Hu

Beyond Ranking: Fine-Grained Diagnostics and Self-Improvement for MLLMs ACL 2026 From Text to Simulation: A Multi-Agent LLM Workflow for Automated Chemical Process Design AAAI 2026 MMTIT-Bench: A Multilingual and Multi-Scenario Benchmark with Cognition-Perception-Reasoning Guided Text-Image Machine Translation CVPR 2026 Towards Real-World Document Parsing via Realistic Scene Synthesis and Document-Aware Training CVPR 2026 Unleashing the Intrinsic Visual Representation Capability of Multimodal Large Language Models CVPR 2026 BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions ICLR 2025 Cross-Silo Feature Space Alignment for Federated Learning on Clients with Imbalanced Data AAAI 2025 DeepMIM: Deep Supervision for Masked Image Modeling WACV 2025 Federated Deconfounding and Debiasing Learning for Out-of-Distribution Generalization IJCAI 2025 FusionBench: A Unified Library and Comprehensive Benchmark for Deep Model Fusion JMLR 2025 InterIDEAS: Philosophical Intertextuality via LLMs EMNLP 2025 Neural Architecture Search Driven by Locally Guided Diffusion for Personalized Federated Learning ICCV 2025 Noise-Resistant Video Anomaly Detection via RGB Error-Guided Multiscale Predictive Coding and Dynamic Memory CVPR 2025 RBench: Graduate-level Multi-disciplinary Benchmarks for LLM & MLLM Complex Reasoning Evaluation ICML 2025 Revisit the Open Nature of Open Vocabulary Semantic Segmentation ICLR 2025 Targeted Low-rank Refinement: Enhancing Sparse Language Models with Precision ICML 2025 Data-efficient Large Vision Models through Sequential Autoregression ICML 2024 GAIA: Zero-shot Talking Avatar Generation ICLR 2024 InstructDiffusion: A Generalist Modeling Interface for Vision Tasks CVPR 2024 Joint Input and Output Coordination for Class-Incremental Learning IJCAI 2024 MotionEditor: Editing Video Motion via Content-Aware Diffusion CVPR 2024 Multiple View Geometry Transformers for 3D Human Pose Estimation CVPR 2024 Parameter-Efficient Multi-Task Model Fusion with Partial Linearization ICLR 2024 POCE: Primal Policy Optimization with Conservative Estimation for Multi-constraint Offline Reinforcement Learning CVPR 2024 ScalingFilter: Assessing Data Quality through Inverse Utilization of Scaling Laws EMNLP 2024 Segment and Caption Anything CVPR 2024 SimDA: Simple Diffusion Adapter for Efficient Video Generation CVPR 2024 Unsupervised Graphic Layout Grouping With Transformers WACV 2024 V-DETR: DETR with Vertex Relative Position Encoding for 3D Object Detection ICLR 2024 All in Tokens: Unifying Output Space of Visual Tasks via Soft Token ICCV 2023 Attentive Mask CLIP ICCV 2023 DETR Does Not Need Multi-Scale or Locality Design ICCV 2023 DETRs With Hybrid Matching CVPR 2023 Efficient Diffusion Training via Min-SNR Weighting Strategy ICCV 2023 EfficientViT: Memory Efficient Vision Transformer With Cascaded Group Attention CVPR 2023 FedABC: Targeting Fair Competition in Personalized Federated Learning AAAI 2023 Federated Learning with Manifold Regularization and Normalized Update Reaggregation NeurIPS 2023 GlyphControl: Glyph Conditional Control for Visual Text Generation NeurIPS 2023 Human Pose As Compositional Tokens CVPR 2023 iCLIP: Bridging Image Classification and Contrastive Language-Image Pre-Training for Visual Recognition CVPR 2023 ImageBrush: Learning Visual In-Context Instructions for Exemplar-Based Image Manipulation NeurIPS 2023 Implicit Temporal Modeling with Learnable Alignment for Video Recognition ICCV 2023 Improving CLIP Fine-tuning Performance ICCV 2023 Improving Heterogeneous Model Reuse by Density Estimation IJCAI 2023 Mask-Attention-Free Transformer for 3D Instance Segmentation ICCV 2023 On Data Scaling in Masked Image Modeling CVPR 2023 One-for-All: Bridge the Gap Between Heterogeneous Architectures in Knowledge Distillation NeurIPS 2023 Pairwise GUI Dataset Construction Between Android Phones and Tablets NeurIPS 2023 Rank-DETR for High Quality Object Detection NeurIPS 2023 ResFormer: Scaling ViTs With Multi-Resolution Training CVPR 2023 Revealing the Dark Secrets of Masked Image Modeling CVPR 2023 Revisit the Power of Vanilla Knowledge Distillation: from Small Scale to Large Scale NeurIPS 2023 SeqTrack: Sequence to Sequence Learning for Visual Object Tracking CVPR 2023 Side Adapter Network for Open-Vocabulary Semantic Segmentation CVPR 2023 SVFormer: Semi-Supervised Video Transformer for Action Recognition CVPR 2023 TinyCLIP: CLIP Distillation via Affinity Mimicking and Weight Inheritance ICCV 2023 TinyMIM: An Empirical Study of Distilling MIM Pre-Trained Models CVPR 2023 "A Simple Approach and Benchmark for 21,000-Category Object Detection" ECCV 2022 A Simple Baseline for Open-Vocabulary Semantic Segmentation with Pre-trained Vision-Language Model ECCV 2022 Could Giant Pre-trained Image Models Extract Universal Representations? NeurIPS 2022 Expediting Large-Scale Vision Transformer for Dense Prediction without Fine-tuning NeurIPS 2022 Graph Hawkes Transformer for Extrapolated Reasoning on Temporal Knowledge Graphs EMNLP 2022 Learning Efficient Vision Transformers via Fine-Grained Manifold Distillation NeurIPS 2022 RankSeg: Adaptive Pixel Classification with Image Category Ranking for Segmentation ECCV 2022 SimMIM: A Simple Framework for Masked Image Modeling CVPR 2022 Swin Transformer V2: Scaling Up Capacity and Resolution CVPR 2022 Video Swin Transformer CVPR 2022 Aligning Pretraining for Detection via Object-Level Contrastive Learning NeurIPS 2021 Bootstrap Your Object Detector via Mixed Training NeurIPS 2021 Capsule Network Is Not More Robust Than Convolutional Network CVPR 2021 End-to-End Semi-Supervised Object Detection With Soft Teacher ICCV 2021 Group-Free 3D Object Detection via Transformers ICCV 2021 Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning CVPR 2021 Semi-Supervised Semantic Segmentation via Adaptive Equalization Learning NeurIPS 2021 Swin Transformer: Hierarchical Vision Transformer Using Shifted Windows ICCV 2021 A Closer Look at Local Aggregation Operators in Point Cloud Analysis ECCV 2020 Dense RepPoints: Representing Visual Objects with Dense Point Sets ECCV 2020 Disentangled Non-local Neural Networks ECCV 2020 Memory Enhanced Global-Local Aggregation for Video Object Detection CVPR 2020 Negative Margin Matters: Understanding Margin in Few-shot Classification ECCV 2020 Parametric Instance Classification for Unsupervised Visual Feature learning NeurIPS 2020 RelationNet++: Bridging Visual Representations for Object Detection via Transformer Decoder NeurIPS 2020 RepPoints v2: Verification Meets Regression for Object Detection NeurIPS 2020 Scalable Differential Privacy with Certified Robustness in Adversarial Learning ICML 2020 Deformable ConvNets V2: More Deformable, Better Results CVPR 2019 Local Relation Networks for Image Recognition ICCV 2019 RepPoints: Point Set Representation for Object Detection ICCV 2019 Spatial-Temporal Relation Networks for Multi-Object Tracking ICCV 2019 Learning Region Features for Object Detection ECCV 2018 Relation Networks for Object Detection CVPR 2018 Deformable Convolutional Networks ICCV 2017 WordSup: Exploiting Word Annotations for Character Based Text Detection ICCV 2017 Smooth Representation Clustering CVPR 2014 Pose from Flow and Flow from Pose CVPR 2013