Chunjing Xu

According to our database, Chunjing Xu authored at least 93 papers between 2006 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

A Survey on Vision Transformer.

Kai Han, Yunhe Wang, Hanting Chen, Xinghao Chen, Jianyuan Guo, Zhenhua Liu, Yehui Tang, An Xiao, Chunjing Xu, Yixing Xu, Zhaohui Yang, Yiman Zhang, Dacheng Tao

IEEE Trans. Pattern Anal. Mach. Intell., 2023

Open-sourced Data Ecosystem in Autonomous Driving: the Present and Future.

Hongyang Li, Yang Li, Huijie Wang, Jia Zeng, Pinlong Cai, Huilin Xu, Dahua Lin, Junchi Yan, Feng Xu, Lu Xiong, Jingdong Wang, Futang Zhu, Kai Yan, Chunjing Xu, Tiancai Wang, Beipeng Mu, Shaoqing Ren, Zhihui Peng, Yu Qiao

CoRR, 2023

Topology Reasoning for Driving Scenes.

Tianyu Li, Li Chen, Xiangwei Geng, Huijie Wang, Yang Li, Zhenbo Liu, Shengyin Jiang, Yuting Wang, Hang Xu, Chunjing Xu, Feng Wen, Ping Luo, Junchi Yan, Wei Zhang, Xiaogang Wang, Yu Qiao, Hongyang Li

CoRR, 2023

FlowMap: Path Generation for Automated Vehicles in Open Space Using Traffic Flow.

Wenchao Ding, Jieru Zhao, Yubin Chu, Haihui Huang, Tong Qin, Chunjing Xu, Yuxiang Guan, Zhongxue Gan

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Visual Exemplar Driven Task-Prompting for Unified Perception in Autonomous Driving.

Xiwen Liang, Minzhe Niu, Jianhua Han, Hang Xu, Chunjing Xu, Xiaodan Liang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

NLIP: Noise-Robust Language-Image Pre-training.

Runhui Huang, Yanxin Long, Jianhua Han, Hang Xu, Xiwen Liang, Chunjing Xu, Xiaodan Liang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Learning Versatile Convolution Filters for Efficient Visual Recognition.

Kai Han, Yunhe Wang, Chang Xu, Chunjing Xu, Enhua Wu, Dacheng Tao

IEEE Trans. Pattern Anal. Mach. Intell., 2022

GhostNets on Heterogeneous Devices via Cheap Operations.

Kai Han, Yunhe Wang, Chang Xu, Jianyuan Guo, Chunjing Xu, Enhua Wu, Qi Tian

Int. J. Comput. Vis., 2022

P³OVD: Fine-grained Visual-Text Prompt-Driven Self-Training for Open-Vocabulary Object Detection.

Yanxin Long, Jianhua Han, Runhui Huang, Xu Hang, Yi Zhu, Chunjing Xu, Xiaodan Liang

CoRR, 2022

Wukong: 100 Million Large-scale Chinese Cross-modal Pre-training Dataset and A Foundation Framework.

Jiaxi Gu, Xiaojun Meng, Guansong Lu, Lu Hou, Minzhe Niu, Hang Xu, Xiaodan Liang, Wei Zhang, Xin Jiang, Chunjing Xu

CoRR, 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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Effective Adaptation in Multi-Task Co-Training for Unified Autonomous Driving.

Xiwen Liang, Yangxin Wu, Jianhua Han, Hang Xu, Chunjing Xu, Xiaodan Liang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 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

Proceedings of the Tenth International Conference on Learning Representations, 2022

LayouTransformer: Generating Layout Patterns with Transformer via Sequential Pattern Modeling.

Liangjian Wen, Yi Zhu, Lei Ye, Guojin Chen, Bei Yu, Jianzhuang Liu, Chunjing Xu

Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022

Open-World Semantic Segmentation via Contrasting and Clustering Vision-Language Embedding.

Quande Liu, Youpeng Wen, Jianhua Han, Chunjing Xu, Hang Xu, Xiaodan Liang

Proceedings of the Computer Vision - ECCV 2022, 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

Proceedings of the Computer Vision - ECCV 2022, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Laneformer: Object-Aware Row-Column Transformers for Lane Detection.

Jianhua Han, Xiajun Deng, Xinyue Cai, Zhen Yang, Hang Xu, Chunjing Xu, Xiaodan Liang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Greedy Network Enlarging.

Chuanjian Liu, Kai Han, An Xiao, Yiping Deng, Wei Zhang, Chunjing Xu, Yunhe Wang

CoRR, 2021

CMT: Convolutional Neural Networks Meet Vision Transformers.

Jianyuan Guo, Kai Han, Han Wu, Chang Xu, Yehui Tang, Chunjing Xu, Yunhe Wang

CoRR, 2021

S³: 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

CoRR, 2021

SODA10M: Towards Large-Scale Object Detection Benchmark for Autonomous Driving.

Jianhua Han, Xiwen Liang, Hang Xu, Kai Chen, Lanqing Hong, Chaoqiang Ye, Wei Zhang, Zhenguo Li, Xiaodan Liang, Chunjing Xu

CoRR, 2021

One Million Scenes for Autonomous Driving: ONCE Dataset.

Jiageng Mao, Minzhe Niu, Chenhan Jiang, Hanxue Liang, Xiaodan Liang, Yamin Li, Chaoqiang Ye, Wei Zhang, Zhenguo Li, Jie Yu, Hang Xu, Chunjing Xu

CoRR, 2021

Adder Neural Networks.

Hanting Chen, Yunhe Wang, Chang Xu, Chao Xu, Chunjing Xu, Tong Zhang

CoRR, 2021

AdderNet and its Minimalist Hardware Design for Energy-Efficient Artificial Intelligence.

Yunhe Wang, Mingqiang Huang, Kai Han, Hanting Chen, Wei Zhang, Chunjing Xu, Dacheng Tao

CoRR, 2021

GhostSR: Learning Ghost Features for Efficient Image Super-Resolution.

Ying Nie, Kai Han, Zhenhua Liu, An Xiao, Yiping Deng, Chunjing Xu, Yunhe Wang

CoRR, 2021

Learning Frequency Domain Approximation for Binary Neural Networks.

Yixing Xu, Kai Han, Chang Xu, Yehui Tang, Chunjing Xu, Yunhe Wang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

One Million Scenes for Autonomous Driving: ONCE Dataset.

Jiageng Mao, Minzhe Niu, Chenhan Jiang, Hanxue Liang, Jingheng Chen, Xiaodan Liang, Yamin Li, Chaoqiang Ye, Wei Zhang, Zhenguo Li, Jie Yu, Chunjing Xu, Hang Xu

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 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

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 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

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Transformer in Transformer.

Kai Han, An Xiao, Enhua Wu, Jianyuan Guo, Chunjing Xu, Yunhe Wang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

SODA10M: A Large-Scale 2D Self/Semi-Supervised Object Detection Dataset for Autonomous Driving.

Jianhua Han, Xiwen Liang, Hang Xu, Kai Chen, Lanqing Hong, Jiageng Mao, Chaoqiang Ye, Wei Zhang, Zhenguo Li, Xiaodan Liang, Chunjing Xu

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

An Empirical Study of Adder Neural Networks for Object Detection.

Xinghao Chen, Chang Xu, Minjing Dong, Chunjing Xu, Yunhe Wang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Winograd Algorithm for AdderNet.

Wenshuo Li, Hanting Chen, Mingqiang Huang, Xinghao Chen, Chunjing Xu, Yunhe Wang

Proceedings of the 38th International Conference on Machine Learning, 2021

Learning Frequency-aware Dynamic Network for Efficient Super-Resolution.

Wenbin Xie, Dehua Song, Chang Xu, Chunjing Xu, Hui Zhang, Yunhe Wang

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Voxel Transformer for 3D Object Detection.

Jiageng Mao, Yujing Xue, Minzhe Niu, Haoyue Bai, Jiashi Feng, Xiaodan Liang, Hang Xu, Chunjing Xu

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 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

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Data-Free Knowledge Distillation for Image Super-Resolution.

Yiman Zhang, Hanting Chen, Xinghao Chen, Yiping Deng, Chunjing Xu, Yunhe Wang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 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

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

ReNAS: Relativistic Evaluation of Neural Architecture Search.

Yixing Xu, Yunhe Wang, Kai Han, Yehui Tang, Shangling Jui, Chunjing Xu, Chang Xu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

AdderSR: Towards Energy Efficient Image Super-Resolution.

Dehua Song, Yunhe Wang, Hanting Chen, Chang Xu, Chunjing Xu, Dacheng Tao

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 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

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Distilling Object Detectors via Decoupled Features.

Jianyuan Guo, Kai Han, Yunhe Wang, Han Wu, Xinghao Chen, Chunjing Xu, Chang Xu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Learning Student Networks in the Wild.

Hanting Chen, Tianyu Guo, Chang Xu, Wenshuo Li, Chunjing Xu, Chao Xu, Yunhe Wang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 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

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Towards Dynamic and Scalable Active Learning with Neural Architecture Adaption for Object Detection.

Fuhui Tang, Chenhan Jiang, Dafeng Wei, Hang Xu, Andi Zhang, Wei Zhang, Hongtao Lu, Chunjing Xu

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

A Survey on Visual Transformer.

Kai Han, Yunhe Wang, Hanting Chen, Xinghao Chen, Jianyuan Guo, Zhenhua Liu, Yehui Tang, An Xiao, Chunjing Xu, Yixing Xu, Zhaohui Yang, Yiman Zhang, Dacheng Tao

CoRR, 2020

VEGA: Towards an End-to-End Configurable AutoML Pipeline.

Bochao Wang, Hang Xu, Jiajin Zhang, Chen Chen, Yixing Xu, Xiaozhi Fang, Ning Kang, Lanqing Hong, Chenhan Jiang, Xinyue Cai, Jiawei Li, Fengwei Zhou, Yong Li, Zhicheng Liu, Xinghao Chen, Kai Han, Han Shu, Dehua Song, Yunhe Wang, Wei Zhang, Chunjing Xu, Zhenguo Li, Wenzhi Liu, Tong Zhang

CoRR, 2020

Multi-Task Pruning for Semantic Segmentation Networks.

Xinghao Chen, Yunhe Wang, Yiman Zhang, Peng Du, Chunjing Xu, Chang Xu

CoRR, 2020

HourNAS: Extremely Fast Neural Architecture Search Through an Hourglass Lens.

Zhaohui Yang, Yunhe Wang, Dacheng Tao, Xinghao Chen, Jianyuan Guo, Chunjing Xu, Chao Xu, Chang Xu

CoRR, 2020

Widening and Squeezing: Towards Accurate and Efficient QNNs.

Chuanjian Liu, Kai Han, Yunhe Wang, Hanting Chen, Chunjing Xu, Qi Tian

CoRR, 2020

Searching for Low-Bit Weights in Quantized Neural Networks.

Zhaohui Yang, Yunhe Wang, Kai Han, Chunjing Xu, Chao Xu, Dacheng Tao, Chang Xu

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Kernel Based Progressive Distillation for Adder Neural Networks.

Yixing Xu, Chang Xu, Xinghao Chen, Wei Zhang, Chunjing Xu, Yunhe Wang

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

SCOP: Scientific Control for Reliable Neural Network Pruning.

Yehui Tang, Yunhe Wang, Yixing Xu, Dacheng Tao, Chunjing Xu, Chao Xu, Chang Xu

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Model Rubik's Cube: Twisting Resolution, Depth and Width for TinyNets.

Kai Han, Yunhe Wang, Qiulin Zhang, Wei Zhang, Chunjing Xu, Tong Zhang

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Discernible Image Compression.

Zhaohui Yang, Yunhe Wang, Chang Xu, Peng Du, Chao Xu, Chunjing Xu, Qi Tian

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Training Binary Neural Networks through Learning with Noisy Supervision.

Kai Han, Yunhe Wang, Yixing Xu, Chunjing Xu, Enhua Wu, Chang Xu

Proceedings of the 37th International Conference on Machine Learning, 2020

Optical Flow Distillation: Towards Efficient and Stable Video Style Transfer.

Xinghao Chen, Yiman Zhang, Yunhe Wang, Han Shu, Chunjing Xu, Chang Xu

Proceedings of the Computer Vision - ECCV 2020, 2020

CARS: Continuous Evolution for Efficient Neural Architecture Search.

Zhaohui Yang, Yunhe Wang, Xinghao Chen, Boxin Shi, Chao Xu, Chunjing Xu, Qi Tian, Chang Xu

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

A Semi-Supervised Assessor of Neural Architectures.

Yehui Tang, Yunhe Wang, Yixing Xu, Hanting Chen, Boxin Shi, Chao Xu, Chunjing Xu, Qi Tian, Chang Xu

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Video Super-Resolution With Temporal Group Attention.

Takashi Isobe, Songjiang Li, Xu Jia, Shanxin Yuan, Gregory G. Slabaugh, Chunjing Xu, Ya-Li Li, Shengjin Wang, Qi Tian

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

GhostNet: More Features From Cheap Operations.

Kai Han, Yunhe Wang, Qi Tian, Jianyuan Guo, Chunjing Xu, Chang Xu

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

AdderNet: Do We Really Need Multiplications in Deep Learning?

Hanting Chen, Yunhe Wang, Chunjing Xu, Boxin Shi, Chao Xu, Qi Tian, Chang Xu

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Frequency Domain Compact 3D Convolutional Neural Networks.

Hanting Chen, Yunhe Wang, Han Shu, Yehui Tang, Chunjing Xu, Boxin Shi, Chao Xu, Qi Tian, Chang Xu

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Efficient Residual Dense Block Search for Image Super-Resolution.

Dehua Song, Chang Xu, Xu Jia, Yiyi Chen, Chunjing Xu, Yunhe Wang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 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

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Unsupervised Image Super-Resolution with an Indirect Supervised Path.

Zhen Han, Enyan Dai, Xu Jia, Xiaoying Ren, Shuaijun Chen, Chunjing Xu, Jianzhuang Liu, Qi Tian

CoRR, 2019

RNAS: Architecture Ranking for Powerful Networks.

Yixing Xu, Yunhe Wang, Kai Han, Hanting Chen, Yehui Tang, Shangling Jui, Chunjing Xu, Qi Tian, Chang Xu

CoRR, 2019

Full-Stack Filters to Build Minimum Viable CNNs.

Kai Han, Yunhe Wang, Yixing Xu, Chunjing Xu, Dacheng Tao, Chang Xu

CoRR, 2019

Positive-Unlabeled Compression on the Cloud.

Yixing Xu, Yunhe Wang, Hanting Chen, Kai Han, Chunjing Xu, Dacheng Tao, Chang Xu

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Learning Instance-wise Sparsity for Accelerating Deep Models.

Chuanjian Liu, Yunhe Wang, Kai Han, Chunjing Xu, Chang Xu

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Attribute Aware Pooling for Pedestrian Attribute Recognition.

Kai Han, Yunhe Wang, Han Shu, Chuanjian Liu, Chunjing Xu, Chang Xu

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 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

Proceedings of the 36th International Conference on Machine Learning, 2019

Searching for Accurate Binary Neural Architectures.

Mingzhu Shen, Kai Han, Chunjing Xu, Yunhe Wang

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Co-Evolutionary Compression for Unpaired Image Translation.

Han Shu, Yunhe Wang, Xu Jia, Kai Han, Hanting Chen, Chunjing Xu, Qi Tian, Chang Xu

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Data-Free Learning of Student Networks.

Hanting Chen, Yunhe Wang, Chang Xu, Zhaohui Yang, Chuanjian Liu, Boxin Shi, Chunjing Xu, Chao Xu, Qi Tian

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Deep Fitting Degree Scoring Network for Monocular 3D Object Detection.

Lijie Liu, Jiwen Lu, Chunjing Xu, Qi Tian, Jie Zhou

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

BridgeNet: A Continuity-Aware Probabilistic Network for Age Estimation.

Wanhua Li, Jiwen Lu, Jianjiang Feng, Chunjing Xu, Jie Zhou, Qi Tian

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Learning Versatile Filters for Efficient Convolutional Neural Networks.

Yunhe Wang, Chang Xu, Chunjing Xu, Chao Xu, Dacheng Tao

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2014

Transitive Distance Clustering with K-Means Duality.

Zhiding Yu, Chunjing Xu, Deyu Meng, Zhuo Hui, Fanyi Xiao, Wenbo Liu, Jianzhuang Liu

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013

LTD: Local Ternary Descriptor for image matching.

Yongqiang Gao, Yu Qiao, Zhifeng Li, Chunjing Xu

Proceedings of the IEEE International Conference on Information and Automation, 2013

2012

Bag of textons for image segmentation via soft clustering and convex shift.

Zhiding Yu, Ang Li, Oscar C. Au, Chunjing Xu

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011

Automatic object segmentation from large scale 3D urban point clouds through manifold embedded mode seeking.

Zhiding Yu, Chunjing Xu, Jianzhuang Liu, Oscar C. Au, Xiaoou Tang

Proceedings of the 19th International Conference on Multimedia 2011, Scottsdale, AZ, USA, November 28, 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

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010

3D object search through semantic component.

Chunjing Xu, Zhengwu Zhang, Jianzhuang Liu, Xiaoou Tang

Proceedings of the 18th International Conference on Multimedia 2010, 2010

2009

2D Shape Matching by Contour Flexibility.

Chunjing Xu, Jianzhuang Liu, Xiaoou Tang

IEEE Trans. Pattern Anal. Mach. Intell., 2009

Boosting 3D object retrieval by object flexibility.

Boqing Gong, Chunjing Xu, Jianzhuang Liu, Xiaoou Tang

Proceedings of the 17th International Conference on Multimedia 2009, 2009

2007

Clustering with Transitive Distance and K-Means Duality

Chunjing Xu, Jianzhuang Liu, Xiaoou Tang

CoRR, 2007

2006

Detecting irregularity in videos using kernel estimation and KD trees.

Yun Li, Chunjing Xu, Jianzhuang Liu, Xiaoou Tang

Proceedings of the 14th ACM International Conference on Multimedia, 2006