Kecheng Zheng

Diffusion Guided Chain-of-Vision for Large Autoregressive Vision Models CVPR 2026 Reasoning Diffusion for Unpaired Test Time Out-of-distribution Text-Image to Video Generation CVPR 2026 SceneScribe-1M: A Large-Scale Video Dataset with Comprehensive Geometric and Semantic Annotations CVPR 2026 SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation CVPR 2026 Aligned Better, Listen Better for Audio-Visual Large Language Models ICLR 2025 Animate-X: Universal Character Image Animation with Enhanced Motion Representation ICLR 2025 Benchmarking Large Vision-Language Models via Directed Scene Graph for Comprehensive Image Captioning CVPR 2025 Contextual AD Narration with Interleaved Multimodal Sequence CVPR 2025 Exploring Sparse MoE in GANs for Text-conditioned Image Synthesis CVPR 2025 Framer: Interactive Frame Interpolation ICLR 2025 Learning Visual Generative Priors without Text CVPR 2025 Mimir: Improving Video Diffusion Models for Precise Text Understanding CVPR 2025 MotionStone: Decoupled Motion Intensity Modulation with Diffusion Transformer for Image-to-Video Generation CVPR 2025 Accelerating Pre-training of Multimodal LLMs via Chain-of-Sight NeurIPS 2024 CoDeF: Content Deformation Fields for Temporally Consistent Video Processing CVPR 2024 CoReS: Orchestrating the Dance of Reasoning and Segmentation ECCV 2024 CrossMAE: Cross-Modality Masked Autoencoders for Region-Aware Audio-Visual Pre-Training CVPR 2024 Exploring Guided Sampling of Conditional GANs ECCV 2024 Language-Image Pre-training with Long Captions ECCV 2024 LoTLIP: Improving Language-Image Pre-training for Long Text Understanding NeurIPS 2024 Paying More Attention to Images: A Training-Free Method for Alleviating Hallucination in LVLMs ECCV 2024 UKnow: A Unified Knowledge Protocol with Multimodal Knowledge Graph Datasets for Reasoning and Vision-Language Pre-Training NeurIPS 2024 Benchmarking and Analyzing 3D-aware Image Synthesis with a Modularized Codebase NeurIPS 2023 Cones: Concept Neurons in Diffusion Models for Customized Generation ICML 2023 Customizable Image Synthesis with Multiple Subjects NeurIPS 2023 Neural Dependencies Emerging From Learning Massive Categories CVPR 2023 Regularized Mask Tuning: Uncovering Hidden Knowledge in Pre-Trained Vision-Language Models ICCV 2023 RLEG: Vision-Language Representation Learning with Diffusion-based Embedding Generation ICML 2023 Self-Organizing Pathway Expansion for Non-Exemplar Class-Incremental Learning ICCV 2023 Uncertainty-Aware Optimal Transport for Semantically Coherent Out-of-Distribution Detection CVPR 2023 Cloth-Changing Person Re-Identification From a Single Image With Gait Prediction and Regularization CVPR 2022 Debiased Batch Normalization via Gaussian Process for Generalizable Person Re-identification AAAI 2022 Modality-Adaptive Mixup and Invariant Decomposition for RGB-Infrared Person Re-identification AAAI 2022 Principled Knowledge Extrapolation with GANs ICML 2022 Rank Diminishing in Deep Neural Networks NeurIPS 2022 Temporal Complementarity-Guided Reinforcement Learning for Image-to-Video Person Re-Identification CVPR 2022 Uncertainty-Aware Hierarchical Refinement for Incremental Implicitly-Refined Classification NeurIPS 2022 Unleashing Potential of Unsupervised Pre-Training With Intra-Identity Regularization for Person Re-Identification CVPR 2022 Exploiting Sample Uncertainty for Domain Adaptive Person Re-Identification AAAI 2021 Group-aware Label Transfer for Domain Adaptive Person Re-identification CVPR 2021 Spatial-Temporal Correlation and Topology Learning for Person Re-Identification in Videos CVPR 2021 Abstract Reasoning with Distracting Features NeurIPS 2019