Liang Zheng

Can We Predict Performance of Large Models across Vision-Language Tasks? ICML 2025 Aesthetic Post-Training Diffusion Models from Generic Preferences with Step-by-step Preference Optimization CVPR 2025 Vec2Face: Scaling Face Dataset Generation with Loosely Constrained Vectors ICLR 2025 Effective Training Data Synthesis for Improving MLLM Chart Understanding ICCV 2025 REPA-E: Unlocking VAE for End-to-End Tuning of Latent Diffusion Transformers ICCV 2025 DDPA-3DVG: Vision-Language Dual-Decoupling and Progressive Alignment for 3D Visual Grounding IJCAI 2025 Learning to Select Views for Efficient Multi-View Understanding CVPR 2024 SmartMask: Context Aware High-Fidelity Mask Generation for Fine-grained Object Insertion and Layout Control CVPR 2024 Taylor Videos for Action Recognition ICML 2024 CIFAR-10-Warehouse: Broad and More Realistic Testbeds in Model Generalization Analysis ICLR 2024 Towards Optimal Feature-Shaping Methods for Out-of-Distribution Detection ICLR 2024 Alice Benchmarks: Connecting Real World Re-Identification with the Synthetic ICLR 2024 Bounding Box Stability against Feature Dropout Reflects Detector Generalization across Environments ICLR 2024 Adaptive Multi-head Contrastive Learning ECCV 2024 Training A Small Emotional Vision Language Model for Visual Art Comprehension ECCV 2024 The First to Know: How Token Distributions Reveal Hidden Knowledge in Large Vision-Language Models? ECCV 2024 Adapting Humanoid Locomotion over Challenging Terrain via Two-Phase Training CORL 2024 Large-Scale Training Data Search for Object Re-Identification CVPR 2023 CircNet: Meshing 3D Point Clouds with Circumcenter Detection ICLR 2023 Split To Learn: Gradient Split for Multi-Task Human Image Analysis WACV 2023 How Far Pre-trained Models Are from Neural Collapse on the Target Dataset Informs their Transferability ICCV 2023 High-Fidelity Guided Image Synthesis With Latent Diffusion Models CVPR 2023 Adaptive Calibrator Ensemble: Navigating Test Set Difficulty in Out-of-Distribution Scenarios ICCV 2023 Confidence and Dispersity Speak: Characterizing Prediction Matrix for Unsupervised Accuracy Estimation ICML 2023 A Bag-of-Prototypes Representation for Dataset-Level Applications CVPR 2023 Privacy Assessment on Reconstructed Images: Are Existing Evaluation Metrics Faithful to Human Perception? NIPS 2023 Divide, Evaluate, and Refine: Evaluating and Improving Text-to-Image Alignment with Iterative VQA Feedback NIPS 2023 How to Synthesize a Large-Scale and Trainable Micro-Expression Dataset? ECCV 2022 On the Strong Correlation Between Model Invariance and Generalization NIPS 2022 Intelli-Paint: Towards Developing More Human-Intelligible Painting Agents ECCV 2022 Paint2Pix: Interactive Painting Based Progressive Image Synthesis and Editing ECCV 2022 Are Labels Always Necessary for Classifier Accuracy Evaluation? CVPR 2021 Visualizing Adapted Knowledge in Domain Transfer CVPR 2021 Positive Sample Propagation Along the Audio-Visual Event Line CVPR 2021 Combining Semantic Guidance and Deep Reinforcement Learning for Generating Human Level Paintings CVPR 2021 Ranking Models in Unlabeled New Environments ICCV 2021 VTNet: Visual Transformer Network for Object Goal Navigation ICLR 2021 What Does Rotation Prediction Tell Us about Classifier Accuracy under Varying Testing Environments? ICML 2021 Multiview Detection with Feature Perspective Transformation ECCV 2020 Simulating Content Consistent Vehicle Datasets with Attribute Descent ECCV 2020 Learning Object Relation Graph and Tentative Policy for Visual Navigation ECCV 2020 CycAs: Self-supervised Cycle Association for Learning Re-identifiable Descriptions ECCV 2020 Towards Real-Time Multi-Object Tracking ECCV 2020 Random Erasing Data Augmentation AAAI 2020 Learning to Structure an Image With Few Colors CVPR 2020 From Depth What Can You See? Depth Completion via Auxiliary Image Reconstruction CVPR 2020 Circle Loss: A Unified Perspective of Pair Similarity Optimization CVPR 2020 Correlating Edge, Pose With Parsing CVPR 2020 Joint Discriminative and Generative Learning for Person Re-Identification CVPR 2019 Taking a Closer Look at Domain Shift: Category-Level Adversaries for Semantics Consistent Domain Adaptation CVPR 2019 Linkage Based Face Clustering via Graph Convolution Network CVPR 2019 Dissecting Person Re-Identification From the Viewpoint of Viewpoint CVPR 2019 Invariance Matters: Exemplar Memory for Domain Adaptive Person Re-Identification CVPR 2019 A Bottom-Up Clustering Approach to Unsupervised Person Re-Identification AAAI 2019 Macro-Micro Adversarial Network for Human Parsing ECCV 2018 Deep Adversarial Attention Alignment for Unsupervised Domain Adaptation: the Benefit of Target Expectation Maximization ECCV 2018 Generalizing A Person Retrieval Model Hetero- and Homogeneously ECCV 2018 Beyond Part Models: Person Retrieval with Refined Part Pooling (and A Strong Convolutional Baseline) ECCV 2018 Camera Style Adaptation for Person Re-Identification CVPR 2018 Image-Image Domain Adaptation With Preserved Self-Similarity and Domain-Dissimilarity for Person Re-Identification CVPR 2018 SVDNet for Pedestrian Retrieval ICCV 2017 Unlabeled Samples Generated by GAN Improve the Person Re-Identification Baseline in Vitro ICCV 2017 Person Re-Identification in the Wild CVPR 2017 Re-Ranking Person Re-Identification With k-Reciprocal Encoding CVPR 2017 Dynamic Label Graph Matching for Unsupervised Video Re-Identification ICCV 2017 InterActive: Inter-Layer Activeness Propagation CVPR 2016 Scalable Person Re-Identification: A Benchmark ICCV 2015 Query-Adaptive Late Fusion for Image Search and Person Re-Identification CVPR 2015 Bayes Merging of Multiple Vocabularies for Scalable Image Retrieval CVPR 2014 Packing and Padding: Coupled Multi-index for Accurate Image Retrieval CVPR 2014 Lp-Norm IDF for Large Scale Image Search CVPR 2013