Cao, Xianbin

19 publications

ICLR 2025 Efficient Low-Bit Quantization with Adaptive Scales for Multi-Task Co-Training Boyu Liu, Haoyu Huang, Linlin Yang, Yanjing Li, Guodong Guo, Xianbin Cao, Baochang Zhang

ICLR 2025 Prompt as Knowledge Bank: Boost Vision-Language Model via Structural Representation for Zero-Shot Medical Detection Yuguang Yang, Tongfei Chen, Haoyu Huang, Linlin Yang, Chunyu Xie, Dawei Leng, Xianbin Cao, Baochang Zhang

CVPR 2025 SET: Spectral Enhancement for Tiny Object Detection Huixin Sun, Runqi Wang, Yanjing Li, Linlin Yang, Shaohui Lin, Xianbin Cao, Baochang Zhang

ICCV 2025 Uncertainty-Aware Gradient Stabilization for Small Object Detection Huixin Sun, Yanjing Li, Linlin Yang, Xianbin Cao, Baochang Zhang

AAAI 2024 Bi-ViT: Pushing the Limit of Vision Transformer Quantization Yanjing Li, Sheng Xu, Mingbao Lin, Xianbin Cao, Chuanjian Liu, Xiao Sun, Baochang Zhang

NeurIPS 2023 Q-DM: An Efficient Low-Bit Quantized Diffusion Model Yanjing Li, Sheng Xu, Xianbin Cao, Xiao Sun, Baochang Zhang

ICCV 2023 Representation Disparity-Aware Distillation for 3D Object Detection Yanjing Li, Sheng Xu, Mingbao Lin, Jihao Yin, Baochang Zhang, Xianbin Cao

ECCV 2022 IDa-Det: An Information Discrepancy-Aware Distillation for 1-Bit Detectors Sheng Xu, Yanjing Li, Bohan Zeng, Teli Ma, Baochang Zhang, Xianbin Cao, Peng Gao, Jinhu Lü

NeurIPS 2022 Q-ViT: Accurate and Fully Quantized Low-Bit Vision Transformer Yanjing Li, Sheng Xu, Baochang Zhang, Xianbin Cao, Peng Gao, Guodong Guo

WACV 2021 IncreACO: Incrementally Learned Automatic Check-Out with Photorealistic Exemplar Augmentation Yandan Yang, Lu Sheng, Xiaolong Jiang, Haochen Wang, Dong Xu, Xianbin Cao

WACV 2021 Long-Range Attention Network for Multi-View Stereo Xudong Zhang, Yutao Hu, Haochen Wang, Xianbin Cao, Baochang Zhang

WACV 2021 Variational Prototype Inference for Few-Shot Semantic Segmentation Haochen Wang, Yandan Yang, Xianbin Cao, Xiantong Zhen, Cees Snoek, Ling Shao

ECCV 2020 Few-Shot Semantic Segmentation with Democratic Attention Networks Haochen Wang, Xudong Zhang, Yutao Hu, Yandan Yang, Xianbin Cao, Xiantong Zhen

WACV 2020 Model-Agnostic Metric for Zero-Shot Learning Jiayi Shen, Haochen Wang, Anran Zhang, Qiang Qiu, Xiantong Zhen, Xianbin Cao

ECCV 2020 NAS-Count: Counting-by-Density with Neural Architecture Search Yutao Hu, Xiaolong Jiang, Xuhui Liu, Baochang Zhang, Jungong Han, Xianbin Cao, David Doermann

AAAI 2019 Attentive Temporal Pyramid Network for Dynamic Scene Classification Yuanjun Huang, Xianbin Cao, Xiantong Zhen, Jungong Han

WACV 2019 Model-Free Tracking with Deep Appearance and Motion Features Integration Xiaolong Jiang, Peizhao Li, Xiantong Zhen, Xianbin Cao

WACV 2019 Multi-Scale Aggregation Network for Direct Face Alignment Peizhao Li, Anran Zhang, Lei Yue, Xiantong Zhen, Xianbin Cao

AAAI 2019 Projection Convolutional Neural Networks for 1-Bit CNNs via Discrete Back Propagation Jiaxin Gu, Ce Li, Baochang Zhang, Jungong Han, Xianbin Cao, Jianzhuang Liu, David S. Doermann