Kecheng Zheng
38 papers · 2019–2025 · 7 conferences · across top CS/AI conferences
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CVPR (15)
NIPS (8)
ECCV (4)
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Research topics
Keywords
representation learning
(8)
person re-identification
(8)
multimodal learning
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contrastive learning
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diffusion model
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knowledge distillation
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generative adversarial network
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uncertainty estimation
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feature representation
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semantic segmentation
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feature extraction
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reinforcement learning
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foundation model
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domain adaptation
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self-supervised learning
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video understanding
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optimal transport
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image generation
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unsupervised learning
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feature learning
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Papers
MotionStone: Decoupled Motion Intensity Modulation with Diffusion Transformer for Image-to-Video Generation
CVPR 2025
Learning Visual Generative Priors without Text
CVPR 2025
Benchmarking Large Vision-Language Models via Directed Scene Graph for Comprehensive Image Captioning
CVPR 2025
Aligned Better, Listen Better for Audio-Visual Large Language Models
ICLR 2025
Exploring Sparse MoE in GANs for Text-conditioned Image Synthesis
CVPR 2025
Contextual AD Narration with Interleaved Multimodal Sequence
CVPR 2025
Mimir: Improving Video Diffusion Models for Precise Text Understanding
CVPR 2025
Animate-X: Universal Character Image Animation with Enhanced Motion Representation
ICLR 2025
Framer: Interactive Frame Interpolation
ICLR 2025
Paying More Attention to Images: A Training-Free Method for Alleviating Hallucination in LVLMs
ECCV 2024
CoDeF: Content Deformation Fields for Temporally Consistent Video Processing
CVPR 2024
UKnow: A Unified Knowledge Protocol with Multimodal Knowledge Graph Datasets for Reasoning and Vision-Language Pre-Training
NIPS 2024
LoTLIP: Improving Language-Image Pre-training for Long Text Understanding
NIPS 2024
Accelerating Pre-training of Multimodal LLMs via Chain-of-Sight
NIPS 2024
CrossMAE: Cross-Modality Masked Autoencoders for Region-Aware Audio-Visual Pre-Training
CVPR 2024
Exploring Guided Sampling of Conditional GANs
ECCV 2024
CoReS: Orchestrating the Dance of Reasoning and Segmentation
ECCV 2024
Language-Image Pre-training with Long Captions
ECCV 2024
RLEG: Vision-Language Representation Learning with Diffusion-based Embedding Generation
ICML 2023
Benchmarking and Analyzing 3D-aware Image Synthesis with a Modularized Codebase
NIPS 2023
Customizable Image Synthesis with Multiple Subjects
NIPS 2023
Neural Dependencies Emerging From Learning Massive Categories
CVPR 2023
Uncertainty-Aware Optimal Transport for Semantically Coherent Out-of-Distribution Detection
CVPR 2023
Regularized Mask Tuning: Uncovering Hidden Knowledge in Pre-Trained Vision-Language Models
ICCV 2023
Self-Organizing Pathway Expansion for Non-Exemplar Class-Incremental Learning
ICCV 2023
Cones: Concept Neurons in Diffusion Models for Customized Generation
ICML 2023
Uncertainty-Aware Hierarchical Refinement for Incremental Implicitly-Refined Classification
NIPS 2022
Temporal Complementarity-Guided Reinforcement Learning for Image-to-Video Person Re-Identification
CVPR 2022
Cloth-Changing Person Re-Identification From a Single Image With Gait Prediction and Regularization
CVPR 2022
Modality-Adaptive Mixup and Invariant Decomposition for RGB-Infrared Person Re-identification
AAAI 2022
Principled Knowledge Extrapolation with GANs
ICML 2022
Unleashing Potential of Unsupervised Pre-Training With Intra-Identity Regularization for Person Re-Identification
CVPR 2022
Debiased Batch Normalization via Gaussian Process for Generalizable Person Re-identification
AAAI 2022
Rank Diminishing in Deep Neural Networks
NIPS 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
NIPS 2019