Xu, Chunjing

47 publications

AAAI 2023 NLIP: Noise-Robust Language-Image Pre-Training Runhui Huang, Yanxin Long, Jianhua Han, Hang Xu, Xiwen Liang, Chunjing Xu, Xiaodan Liang

CVPR 2023 Visual Exemplar Driven Task-Prompting for Unified Perception in Autonomous Driving Xiwen Liang, Minzhe Niu, Jianhua Han, Hang Xu, Chunjing Xu, Xiaodan Liang

ECCV 2022 CODA: A Real-World Road Corner Case Dataset for Object Detection in Autonomous Driving Kaican Li, Kai Chen, Haoyu Wang, Lanqing Hong, Chaoqiang Ye, Jianhua Han, Yukuai Chen, Wei Zhang, Chunjing Xu, Dit-Yan Yeung, Xiaodan Liang, Zhenguo Li, Hang Xu

NeurIPS 2022 DetCLIP: Dictionary-Enriched Visual-Concept Paralleled Pre-Training for Open-World Detection Lewei Yao, Jianhua Han, Youpeng Wen, Xiaodan Liang, Dan Xu, Wei Zhang, Zhenguo Li, Chunjing Xu, Hang Xu

NeurIPS 2022 Effective Adaptation in Multi-Task Co-Training for Unified Autonomous Driving Xiwen Liang, Yangxin Wu, Jianhua Han, Hang Xu, Chunjing Xu, Xiaodan Liang

ICLR 2022 FILIP: Fine-Grained Interactive Language-Image Pre-Training Lewei Yao, Runhui Huang, Lu Hou, Guansong Lu, Minzhe Niu, Hang Xu, Xiaodan Liang, Zhenguo Li, Xin Jiang, Chunjing Xu

AAAI 2022 Laneformer: Object-Aware Row-Column Transformers for Lane Detection Jianhua Han, Xiajun Deng, Xinyue Cai, Zhen Yang, Hang Xu, Chunjing Xu, Xiaodan Liang

CVPR 2022 ManiTrans: Entity-Level Text-Guided Image Manipulation via Token-Wise Semantic Alignment and Generation Jianan Wang, Guansong Lu, Hang Xu, Zhenguo Li, Chunjing Xu, Yanwei Fu

ECCV 2022 Open-World Semantic Segmentation via Contrasting and Clustering Vision-Language Embedding Quande Liu, Youpeng Wen, Jianhua Han, Chunjing Xu, Hang Xu, Xiaodan Liang

AAAI 2022 Task-Customized Self-Supervised Pre-Training with Scalable Dynamic Routing Zhili Liu, Jianhua Han, Lanqing Hong, Hang Xu, Kai Chen, Chunjing Xu, Zhenguo Li

NeurIPS 2022 Wukong: A 100 Million Large-Scale Chinese Cross-Modal Pre-Training Benchmark Jiaxi Gu, Xiaojun Meng, Guansong Lu, Lu Hou, Niu Minzhe, Xiaodan Liang, Lewei Yao, Runhui Huang, Wei Zhang, Xin Jiang, Chunjing Xu, Hang Xu

CVPR 2021 AdderSR: Towards Energy Efficient Image Super-Resolution Dehua Song, Yunhe Wang, Hanting Chen, Chang Xu, Chunjing Xu, Dacheng Tao

NeurIPS 2021 An Empirical Study of Adder Neural Networks for Object Detection Xinghao Chen, Chang Xu, Minjing Dong, Chunjing Xu, Yunhe Wang

CVPR 2021 Data-Free Knowledge Distillation for Image Super-Resolution Yiman Zhang, Hanting Chen, Xinghao Chen, Yiping Deng, Chunjing Xu, Yunhe Wang

CVPR 2021 Distilling Object Detectors via Decoupled Features Jianyuan Guo, Kai Han, Yunhe Wang, Han Wu, Xinghao Chen, Chunjing Xu, Chang Xu

CVPR 2021 HourNAS: Extremely Fast Neural Architecture Search Through an Hourglass Lens Zhaohui Yang, Yunhe Wang, Xinghao Chen, Jianyuan Guo, Wei Zhang, Chao Xu, Chunjing Xu, Dacheng Tao, Chang Xu

NeurIPS 2021 Learning Frequency Domain Approximation for Binary Neural Networks Yixing Xu, Kai Han, Chang Xu, Yehui Tang, Chunjing Xu, Yunhe Wang

ICCV 2021 Learning Frequency-Aware Dynamic Network for Efficient Super-Resolution Wenbin Xie, Dehua Song, Chang Xu, Chunjing Xu, Hui Zhang, Yunhe Wang

CVPR 2021 Learning Student Networks in the Wild Hanting Chen, Tianyu Guo, Chang Xu, Wenshuo Li, Chunjing Xu, Chao Xu, Yunhe Wang

CVPR 2021 Positive-Unlabeled Data Purification in the Wild for Object Detection Jianyuan Guo, Kai Han, Han Wu, Chao Zhang, Xinghao Chen, Chunjing Xu, Chang Xu, Yunhe Wang

CVPR 2021 Pre-Trained Image Processing Transformer Hanting Chen, Yunhe Wang, Tianyu Guo, Chang Xu, Yiping Deng, Zhenhua Liu, Siwei Ma, Chunjing Xu, Chao Xu, Wen Gao

ICCV 2021 Pyramid R-CNN: Towards Better Performance and Adaptability for 3D Object Detection Jiageng Mao, Minzhe Niu, Haoyue Bai, Xiaodan Liang, Hang Xu, Chunjing Xu

CVPR 2021 ReNAS: Relativistic Evaluation of Neural Architecture Search Yixing Xu, Yunhe Wang, Kai Han, Yehui Tang, Shangling Jui, Chunjing Xu, Chang Xu

NeurIPS 2021 S$^3$: Sign-Sparse-Shift Reparametrization for Effective Training of Low-Bit Shift Networks Xinlin Li, Bang Liu, Yaoliang Yu, Wulong Liu, Chunjing Xu, Vahid Partovi Nia

NeurIPS 2021 SOFT: SoftMax-Free Transformer with Linear Complexity Jiachen Lu, Jinghan Yao, Junge Zhang, Xiatian Zhu, Hang Xu, Weiguo Gao, Chunjing Xu, Tao Xiang, Li Zhang

NeurIPS 2021 Transformer in Transformer Kai Han, An Xiao, Enhua Wu, Jianyuan Guo, Chunjing Xu, Yunhe Wang

ICCV 2021 Voxel Transformer for 3D Object Detection Jiageng Mao, Yujing Xue, Minzhe Niu, Haoyue Bai, Jiashi Feng, Xiaodan Liang, Hang Xu, Chunjing Xu

ICML 2021 Winograd Algorithm for AdderNet Wenshuo Li, Hanting Chen, Mingqiang Huang, Xinghao Chen, Chunjing Xu, Yunhe Wang

AAAI 2020 Beyond Dropout: Feature mAP Distortion to Regularize Deep Neural Networks Yehui Tang, Yunhe Wang, Yixing Xu, Boxin Shi, Chao Xu, Chunjing Xu, Chang Xu

AAAI 2020 Distilling Portable Generative Adversarial Networks for Image Translation Hanting Chen, Yunhe Wang, Han Shu, Changyuan Wen, Chunjing Xu, Boxin Shi, Chao Xu, Chang Xu

AAAI 2020 Efficient Residual Dense Block Search for Image Super-Resolution Dehua Song, Chang Xu, Xu Jia, Yiyi Chen, Chunjing Xu, Yunhe Wang

NeurIPS 2020 Kernel Based Progressive Distillation for Adder Neural Networks Yixing Xu, Chang Xu, Xinghao Chen, Wei Zhang, Chunjing Xu, Yunhe Wang

NeurIPS 2020 Model Rubik’s Cube: Twisting Resolution, Depth and Width for TinyNets Kai Han, Yunhe Wang, Qiulin Zhang, Wei Zhang, Chunjing Xu, Tong Zhang

ECCV 2020 Optical Flow Distillation: Towards Efficient and Stable Video Style Transfer Xinghao Chen, Yiman Zhang, Yunhe Wang, Han Shu, Chunjing Xu, Chang Xu

NeurIPS 2020 SCOP: Scientific Control for Reliable Neural Network Pruning Yehui Tang, Yunhe Wang, Yixing Xu, Dacheng Tao, Chunjing Xu, Chao Xu, Chang Xu

NeurIPS 2020 Searching for Low-Bit Weights in Quantized Neural Networks Zhaohui Yang, Yunhe Wang, Kai Han, Chunjing Xu, Chao Xu, Dacheng Tao, Chang Xu

ICML 2020 Training Binary Neural Networks Through Learning with Noisy Supervision Kai Han, Yunhe Wang, Yixing Xu, Chunjing Xu, Enhua Wu, Chang Xu

CVPRW 2020 Unsupervised Image Super-Resolution with an Indirect Supervised Path Shuaijun Chen, Zhen Han, Enyan Dai, Xu Jia, Ziluan Liu, Xing Liu, Xueyi Zou, Chunjing Xu, Jianzhuang Liu, Qi Tian

IJCAI 2019 Attribute Aware Pooling for Pedestrian Attribute Recognition Kai Han, Yunhe Wang, Han Shu, Chuanjian Liu, Chunjing Xu, Chang Xu

IJCAI 2019 Learning Instance-Wise Sparsity for Accelerating Deep Models Chuanjian Liu, Yunhe Wang, Kai Han, Chunjing Xu, Chang Xu

ICML 2019 LegoNet: Efficient Convolutional Neural Networks with Lego Filters Zhaohui Yang, Yunhe Wang, Chuanjian Liu, Hanting Chen, Chunjing Xu, Boxin Shi, Chao Xu, Chang Xu

NeurIPS 2019 Positive-Unlabeled Compression on the Cloud Yixing Xu, Yunhe Wang, Hanting Chen, Kai Han, Chunjing Xu, Dacheng Tao, Chang Xu

ICCVW 2019 Searching for Accurate Binary Neural Architectures Mingzhu Shen, Kai Han, Chunjing Xu, Yunhe Wang

NeurIPS 2018 Learning Versatile Filters for Efficient Convolutional Neural Networks Yunhe Wang, Chang Xu, Chunjing Xu, Chao Xu, Dacheng Tao

CVPR 2014 Transitive Distance Clustering with K-Means Duality Zhiding Yu, Chunjing Xu, Deyu Meng, Zhuo Hui, Fanyi Xiao, Wenbo Liu, Jianzhuang Liu

CVPR 2012 Bag of Textons for Image Segmentation via Soft Clustering and Convex Shift Zhiding Yu, Ang Li, Oscar C. Au, Chunjing Xu

CVPR 2011 Nonparametric Density Estimation on a Graph: Learning Framework, Fast Approximation and Application in Image Segmentation Zhiding Yu, Oscar C. Au, Ketan Tang, Chunjing Xu