Baochang Zhang

Depth Any Endoscopy: Towards Self-Supervised Generalizable Depth Estimation in Monocular Endoscopy CVPR 2026 Efficiently Seeking Flat Minima for Better Generalization in Fine-Tuning Large Language Models and Beyond AAAI 2026 NeAR: Coupled Neural Asset-Renderer Stack CVPR 2026 PartDiffuser: Part-wise 3D Mesh Generation via Discrete Diffusion CVPR 2026 Asymptotic Unbiased Sample Sampling to Speed Up Sharpness-Aware Minimization AAAI 2025 DFM: Differentiable Feature Matching for Anomaly Detection CVPR 2025 Dynamic Clustering Convolutional Neural Network AAAI 2025 Efficient Low-Bit Quantization with Adaptive Scales for Multi-Task Co-Training ICLR 2025 Graph Structure Refinement with Energy-based Contrastive Learning AAAI 2025 IPDreamer: Appearance-Controllable 3D Object Generation with Complex Image Prompts ICLR 2025 Prompt as Knowledge Bank: Boost Vision-language model via Structural Representation for zero-shot medical detection ICLR 2025 Semantic-Aware Chest X-ray Report Generation with Domain-Specific Lexicon and Diversity-Controlled Retrieval MICCAI 2025 SET: Spectral Enhancement for Tiny Object Detection CVPR 2025 Uncertainty-Aware Gradient Stabilization for Small Object Detection ICCV 2025 WaveMamba: Wavelet-Driven Mamba Fusion for RGB-Infrared Object Detection ICCV 2025 A General and Efficient Training for Transformer via Token Expansion CVPR 2024 AQ-DETR: Low-Bit Quantized Detection Transformer with Auxiliary Queries AAAI 2024 Bi-ViT: Pushing the Limit of Vision Transformer Quantization AAAI 2024 CLIP in Mirror: Disentangling text from visual images through reflection NeurIPS 2024 Controllable Mind Visual Diffusion Model AAAI 2024 DiffuX2CT: Diffusion Learning to Reconstruct CT Images from Biplanar X-Rays ECCV 2024 Federated Learning via Input-Output Collaborative Distillation AAAI 2024 Learning 1-Bit Tiny Object Detector with Discriminative Feature Refinement ICML 2024 Multi-Modal Data Fusion with Missing Data Handling for Mild Cognitive Impairment Progression Prediction MICCAI 2024 Tuning-Free Inversion-Enhanced Control for Consistent Image Editing AAAI 2024 UV-IDM: Identity-Conditioned Latent Diffusion Model for Face UV-Texture Generation CVPR 2024 WAVE: Warping DDIM Inversion Features for Zero-shot Text-to-Video Editing ECCV 2024 XA-Sim2Real: Adaptive Representation Learning for Vessel Segmentation in X-ray Angiography MICCAI 2024 ZONE: Zero-Shot Instruction-Guided Local Editing CVPR 2024 Adaptive Hierarchy-Branch Fusion for Online Knowledge Distillation AAAI 2023 AttriCLIP: A Non-Incremental Learner for Incremental Knowledge Learning CVPR 2023 Few-Shot Learning With Visual Distribution Calibration and Cross-Modal Distribution Alignment CVPR 2023 Implicit Diffusion Models for Continuous Super-Resolution CVPR 2023 Q-DETR: An Efficient Low-Bit Quantized Detection Transformer CVPR 2023 Q-DM: An Efficient Low-bit Quantized Diffusion Model NeurIPS 2023 Representation Disparity-aware Distillation for 3D Object Detection ICCV 2023 Resilient Binary Neural Network AAAI 2023 Anti-Retroactive Interference for Lifelong Learning ECCV 2022 Bi-Level Doubly Variational Learning for Energy-Based Latent Variable Models CVPR 2022 FNeVR: Neural Volume Rendering for Face Animation NeurIPS 2022 IDa-Det: An Information Discrepancy-Aware Distillation for 1-Bit Detectors ECCV 2022 IntraQ: Learning Synthetic Images With Intra-Class Heterogeneity for Zero-Shot Network Quantization CVPR 2022 Q-ViT: Accurate and Fully Quantized Low-bit Vision Transformer NeurIPS 2022 Recurrent Bilinear Optimization for Binary Neural Networks ECCV 2022 Uncertainty Learning Towards Unsupervised Deformable Medical Image Registration WACV 2022 Aha! Adaptive History-Driven Attack for Decision-Based Black-Box Models ICCV 2021 Deformable Gabor Feature Networks for Biomedical Image Classification WACV 2021 Dual-stream Network for Visual Recognition NeurIPS 2021 IDARTS: Interactive Differentiable Architecture Search ICCV 2021 Layer-Wise Searching for 1-Bit Detectors CVPR 2021 Long-Range Attention Network for Multi-View Stereo WACV 2021 Parallel Detection-and-Segmentation Learning for Weakly Supervised Instance Segmentation ICCV 2021 SA-BNN: State-Aware Binary Neural Network AAAI 2021 Style Consistent Image Generation for Nuclei Instance Segmentation WACV 2021 Toward Joint Thing-and-Stuff Mining for Weakly Supervised Panoptic Segmentation CVPR 2021 TRQ: Ternary Neural Networks With Residual Quantization AAAI 2021 Uncertainty-aware Binary Neural Networks IJCAI 2021 Anti-Bandit Neural Architecture Search for Model Defense ECCV 2020 Binarized Neural Architecture Search AAAI 2020 Channel Pruning via Automatic Structure Search IJCAI 2020 Cogradient Descent for Bilinear Optimization CVPR 2020 CP-NAS: Child-Parent Neural Architecture Search for 1-bit CNNs IJCAI 2020 HRank: Filter Pruning Using High-Rank Feature Map CVPR 2020 Interpretable Neural Network Decoupling ECCV 2020 Long-Short Graph Memory Network for Skeleton-based Action Recognition WACV 2020 NAS-Count: Counting-by-Density with Neural Architecture Search ECCV 2020 PAMS: Quantized Super-Resolution via Parameterized Max Scale ECCV 2020 Rotated Binary Neural Network NeurIPS 2020 Bayesian Optimized 1-Bit CNNs ICCV 2019 Calibrated Stochastic Gradient Descent for Convolutional Neural Networks AAAI 2019 Circulant Binary Convolutional Networks: Enhancing the Performance of 1-Bit DCNNs With Circulant Back Propagation CVPR 2019 Crowd Counting and Density Estimation by Trellis Encoder-Decoder Networks CVPR 2019 Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression CVPR 2019 Generalized Zero-Shot Vehicle Detection in Remote Sensing Imagery via Coarse-to-Fine Framework IJCAI 2019 Hypergraph Induced Convolutional Manifold Networks IJCAI 2019 Multinomial Distribution Learning for Effective Neural Architecture Search ICCV 2019 Projection Convolutional Neural Networks for 1-bit CNNs via Discrete Back Propagation AAAI 2019 Rectified Binary Convolutional Networks for Enhancing the Performance of 1-bit DCNNs IJCAI 2019 Towards Optimal Fine Grained Retrieval via Decorrelated Centralized Loss with Normalize-Scale Layer AAAI 2019 Towards Optimal Structured CNN Pruning via Generative Adversarial Learning CVPR 2019 Universal Adversarial Perturbation via Prior Driven Uncertainty Approximation ICCV 2019 Variational Structured Semantic Inference for Diverse Image Captioning NeurIPS 2019 Accelerating Convolutional Networks via Global & Dynamic Filter Pruning IJCAI 2018 Memory Attention Networks for Skeleton-based Action Recognition IJCAI 2018 Modulated Convolutional Networks CVPR 2018 Unsupervised Deep Hashing via Binary Latent Factor Models for Large-scale Cross-modal Retrieval IJCAI 2018 Cross-Modality Binary Code Learning via Fusion Similarity Hashing CVPR 2017 Self-Learning Scene-Specific Pedestrian Detectors Using a Progressive Latent Model CVPR 2017 3D Action Recognition Using Multi-Temporal Depth Motion Maps and Fisher Vector IJCAI 2016 Sparse Representation Classification With Manifold Constraints Transfer CVPR 2015