Detecting irregularity in videos using kernel estimation and KD trees. - Yun Li; Chunjing Xu; Jianzhuang Liu; Xiaoou Tang (ACM Multimedia, 2006)

Clustering with Transitive Distance and K-Means Duality - Chunjing Xu; Jianzhuang Liu; Xiaoou Tang (CoRR, 2007)

Boosting 3D object retrieval by object flexibility. - Boqing Gong; Chunjing Xu; Jianzhuang Liu; Xiaoou Tang (ACM Multimedia, 2009)

2D Shape Matching by Contour Flexibility. - Chunjing Xu; Jianzhuang Liu; Xiaoou Tang (IEEE Trans. Pattern Anal. Mach. Intell., 2009)

3D object search through semantic component. - Chunjing Xu; Zhengwu Zhang; Jianzhuang Liu; Xiaoou Tang (ACM Multimedia, 2010)

Nonparametric density estimation on a graph: Learning framework, fast approximation and application in image segmentation. - Zhiding Yu; Oscar C. Au; Ketan Tang; Chunjing Xu (CVPR, 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 (ACM Multimedia, 2011)

Bag of textons for image segmentation via soft clustering and convex shift. - Zhiding Yu; Ang Li; Oscar C. Au; Chunjing Xu (CVPR, 2012)

LTD: Local Ternary Descriptor for image matching. - Yongqiang Gao; Yu Qiao 001; Zhifeng Li 001; Chunjing Xu (ICIA, 2013)

Transitive Distance Clustering with K-Means Duality. - Zhiding Yu; Chunjing Xu; Deyu Meng; Zhuo Hui; Fanyi Xiao; Wenbo Liu 002; Jianzhuang Liu (CVPR, 2014)

Learning Versatile Filters for Efficient Convolutional Neural Networks. - Yunhe Wang 001; Chang Xu 002; Chunjing Xu; Chao Xu 006; Dacheng Tao (NeurIPS, 2018)

BridgeNet: A Continuity-Aware Probabilistic Network for Age Estimation. - Wanhua Li 001; Jiwen Lu; Jianjiang Feng; Chunjing Xu; Jie Zhou 001; Qi Tian 001 (CVPR, 2019)

Deep Fitting Degree Scoring Network for Monocular 3D Object Detection. - Lijie Liu; Jiwen Lu; Chunjing Xu; Qi Tian 001; Jie Zhou 001 (CVPR, 2019)

Data-Free Learning of Student Networks. - Hanting Chen; Yunhe Wang 001; Chang Xu 002; Zhaohui Yang 003; Chuanjian Liu; Boxin Shi; Chunjing Xu; Chao Xu 006; Qi Tian 001 (ICCV, 2019)

Co-Evolutionary Compression for Unpaired Image Translation. - Han Shu; Yunhe Wang 001; Xu Jia 012; Kai Han 002; Hanting Chen; Chunjing Xu; Qi Tian 001; Chang Xu 002 (ICCV, 2019)

Searching for Accurate Binary Neural Architectures. - Mingzhu Shen; Kai Han 002; Chunjing Xu; Yunhe Wang 001 (ICCV Workshops, 2019)

LegoNet: Efficient Convolutional Neural Networks with Lego Filters. - Zhaohui Yang 003; Yunhe Wang 001; Chuanjian Liu; Hanting Chen; Chunjing Xu; Boxin Shi; Chao Xu 006; Chang Xu 002 (ICML, 2019)

Attribute Aware Pooling for Pedestrian Attribute Recognition. - Kai Han 002; Yunhe Wang 001; Han Shu; Chuanjian Liu; Chunjing Xu; Chang Xu 002 (IJCAI, 2019)

Learning Instance-wise Sparsity for Accelerating Deep Models. - Chuanjian Liu; Yunhe Wang 001; Kai Han 002; Chunjing Xu; Chang Xu 002 (IJCAI, 2019)

Positive-Unlabeled Compression on the Cloud. - Yixing Xu; Yunhe Wang 001; Hanting Chen; Kai Han 002; Chunjing Xu; Dacheng Tao; Chang Xu 002 (NeurIPS, 2019)

Full-Stack Filters to Build Minimum Viable CNNs. - Kai Han 002; Yunhe Wang 001; Yixing Xu; Chunjing Xu; Dacheng Tao; Chang Xu 002 (CoRR, 2019)

RNAS: Architecture Ranking for Powerful Networks. - Yixing Xu; Yunhe Wang 001; Kai Han 002; Hanting Chen; Yehui Tang; Shangling Jui; Chunjing Xu; Qi Tian 001; Chang Xu 002 (CoRR, 2019)

Unsupervised Image Super-Resolution with an Indirect Supervised Path. - Zhen Han; Enyan Dai; Xu Jia 012; Xiaoying Ren; Shuaijun Chen; Chunjing Xu; Jianzhuang Liu; Qi Tian 001 (CoRR, 2019)

Distilling Portable Generative Adversarial Networks for Image Translation. - Hanting Chen; Yunhe Wang 001; Han Shu; Changyuan Wen; Chunjing Xu; Boxin Shi; Chao Xu 006; Chang Xu 002 (AAAI, 2020)

Efficient Residual Dense Block Search for Image Super-Resolution. - Dehua Song; Chang Xu 002; Xu Jia 012; Yiyi Chen 003; Chunjing Xu; Yunhe Wang 001 (AAAI, 2020)

Beyond Dropout: Feature Map Distortion to Regularize Deep Neural Networks. - Yehui Tang; Yunhe Wang 001; Yixing Xu; Boxin Shi; Chao Xu 006; Chunjing Xu; Chang Xu 002 (AAAI, 2020)

Unsupervised Image Super-Resolution with an Indirect Supervised Path. - Shuaijun Chen; Zhen Han; Enyan Dai; Xu Jia 012; Ziluan Liu; Xing Liu; Xueyi Zou; Chunjing Xu; Jianzhuang Liu; Qi Tian 001 (CVPR Workshops, 2020)

Frequency Domain Compact 3D Convolutional Neural Networks. - Hanting Chen; Yunhe Wang 001; Han Shu; Yehui Tang; Chunjing Xu; Boxin Shi; Chao Xu 006; Qi Tian 001; Chang Xu 002 (CVPR, 2020)

AdderNet: Do We Really Need Multiplications in Deep Learning? - Hanting Chen; Yunhe Wang 001; Chunjing Xu; Boxin Shi; Chao Xu 006; Qi Tian 001; Chang Xu 002 (CVPR, 2020)

GhostNet: More Features From Cheap Operations. - Kai Han 002; Yunhe Wang 001; Qi Tian 001; Jianyuan Guo; Chunjing Xu; Chang Xu 002 (CVPR, 2020)

Video Super-Resolution With Temporal Group Attention. - Takashi Isobe; Songjiang Li; Xu Jia 012; Shanxin Yuan; Gregory G. Slabaugh; Chunjing Xu; Ya-Li Li 001; Shengjin Wang; Qi Tian 001 (CVPR, 2020)

A Semi-Supervised Assessor of Neural Architectures. - Yehui Tang; Yunhe Wang 001; Yixing Xu; Hanting Chen; Boxin Shi; Chao Xu 006; Chunjing Xu; Qi Tian 001; Chang Xu 002 (CVPR, 2020)

CARS: Continuous Evolution for Efficient Neural Architecture Search. - Zhaohui Yang 003; Yunhe Wang 001; Xinghao Chen 001; Boxin Shi; Chao Xu 006; Chunjing Xu; Qi Tian 001; Chang Xu 002 (CVPR, 2020)

Optical Flow Distillation: Towards Efficient and Stable Video Style Transfer. - Xinghao Chen 001; Yiman Zhang; Yunhe Wang 001; Han Shu; Chunjing Xu; Chang Xu 002 (ECCV (6), 2020)

Training Binary Neural Networks through Learning with Noisy Supervision. - Kai Han 002; Yunhe Wang 001; Yixing Xu; Chunjing Xu; Enhua Wu; Chang Xu 002 (ICML, 2020)

Discernible Image Compression. - Zhaohui Yang 003; Yunhe Wang 001; Chang Xu 002; Peng Du; Chao Xu 006; Chunjing Xu; Qi Tian 001 (ACM Multimedia, 2020)

Model Rubik's Cube: Twisting Resolution, Depth and Width for TinyNets. - Kai Han 002; Yunhe Wang 001; Qiulin Zhang; Wei Zhang 196; Chunjing Xu; Tong Zhang 001 (NeurIPS, 2020)

SCOP: Scientific Control for Reliable Neural Network Pruning. - Yehui Tang; Yunhe Wang 001; Yixing Xu; Dacheng Tao; Chunjing Xu; Chao Xu 006; Chang Xu 002 (NeurIPS, 2020)

Kernel Based Progressive Distillation for Adder Neural Networks. - Yixing Xu; Chang Xu 002; Xinghao Chen 001; Wei Zhang 196; Chunjing Xu; Yunhe Wang 001 (NeurIPS, 2020)

Searching for Low-Bit Weights in Quantized Neural Networks. - Zhaohui Yang 003; Yunhe Wang 001; Kai Han 002; Chunjing Xu; Chao Xu 006; Dacheng Tao; Chang Xu 002 (NeurIPS, 2020)

Widening and Squeezing: Towards Accurate and Efficient QNNs. - Chuanjian Liu; Kai Han 002; Yunhe Wang 001; Hanting Chen; Chunjing Xu; Qi Tian 001 (CoRR, 2020)

HourNAS: Extremely Fast Neural Architecture Search Through an Hourglass Lens. - Zhaohui Yang 003; Yunhe Wang 001; Dacheng Tao; Xinghao Chen 001; Jianyuan Guo; Chunjing Xu; Chao Xu 006; Chang Xu 002 (CoRR, 2020)

Multi-Task Pruning for Semantic Segmentation Networks. - Xinghao Chen 001; Yunhe Wang 001; Yiman Zhang; Peng Du; Chunjing Xu; Chang Xu 002 (CoRR, 2020)

VEGA: Towards an End-to-End Configurable AutoML Pipeline. - Bochao Wang; Hang Xu 004; Jiajin Zhang; Chen Chen 077; Yixing Xu; Xiaozhi Fang; Ning Kang 001; Lanqing Hong; Chenhan Jiang; Xinyue Cai; Jiawei Li; Fengwei Zhou; et al. (CoRR, 2020)

A Survey on Visual Transformer. - Kai Han 002; Yunhe Wang 001; Hanting Chen; Xinghao Chen 001; Jianyuan Guo; Zhenhua Liu 003; Yehui Tang; An Xiao; Chunjing Xu; Yixing Xu; Zhaohui Yang 003; Yiman Zhang; et al. (CoRR, 2020)

Towards Dynamic and Scalable Active Learning with Neural Architecture Adaption for Object Detection. - Fuhui Tang; Chenhan Jiang; Dafeng Wei; Hang Xu 004; Andi Zhang 001; Wei Zhang 196; Hongtao Lu 001; Chunjing Xu (BMVC, 2021)

Pre-Trained Image Processing Transformer. - Hanting Chen; Yunhe Wang 001; Tianyu Guo 001; Chang Xu 002; Yiping Deng; Zhenhua Liu 003; Siwei Ma; Chunjing Xu; Chao Xu 006; Wen Gao 001 (CVPR, 2021)

Learning Student Networks in the Wild. - Hanting Chen; Tianyu Guo 001; Chang Xu 002; Wenshuo Li; Chunjing Xu; Chao Xu 006; Yunhe Wang 001 (CVPR, 2021)

Distilling Object Detectors via Decoupled Features. - Jianyuan Guo; Kai Han 002; Yunhe Wang 001; Han Wu 009; Xinghao Chen 001; Chunjing Xu; Chang Xu 002 (CVPR, 2021)

Positive-Unlabeled Data Purification in the Wild for Object Detection. - Jianyuan Guo; Kai Han 002; Han Wu 009; Chao Zhang 001; Xinghao Chen 001; Chunjing Xu; Chang Xu 002; Yunhe Wang 001 (CVPR, 2021)

AdderSR: Towards Energy Efficient Image Super-Resolution. - Dehua Song; Yunhe Wang 001; Hanting Chen; Chang Xu 002; Chunjing Xu; Dacheng Tao (CVPR, 2021)

ReNAS: Relativistic Evaluation of Neural Architecture Search. - Yixing Xu; Yunhe Wang 001; Kai Han 002; Yehui Tang; Shangling Jui; Chunjing Xu; Chang Xu 002 (CVPR, 2021)

HourNAS: Extremely Fast Neural Architecture Search Through an Hourglass Lens. - Zhaohui Yang 003; Yunhe Wang 001; Xinghao Chen 001; Jianyuan Guo; Wei Zhang 196; Chao Xu 006; Chunjing Xu; Dacheng Tao; Chang Xu 002 (CVPR, 2021)

Data-Free Knowledge Distillation for Image Super-Resolution. - Yiman Zhang; Hanting Chen; Xinghao Chen 001; Yiping Deng; Chunjing Xu; Yunhe Wang 001 (CVPR, 2021)

Pyramid R-CNN: Towards Better Performance and Adaptability for 3D Object Detection. - Jiageng Mao; Minzhe Niu; Haoyue Bai; Xiaodan Liang; Hang Xu 004; Chunjing Xu (ICCV, 2021)

Voxel Transformer for 3D Object Detection. - Jiageng Mao; Yujing Xue; Minzhe Niu; Haoyue Bai; Jiashi Feng; Xiaodan Liang; Hang Xu 004; Chunjing Xu (ICCV, 2021)

Learning Frequency-aware Dynamic Network for Efficient Super-Resolution. - Wenbin Xie; Dehua Song; Chang Xu 002; Chunjing Xu; Hui Zhang 013; Yunhe Wang 001 (ICCV, 2021)

Winograd Algorithm for AdderNet. - Wenshuo Li; Hanting Chen; Mingqiang Huang; Xinghao Chen 001; Chunjing Xu; Yunhe Wang 001 (ICML, 2021)

An Empirical Study of Adder Neural Networks for Object Detection. - Xinghao Chen 001; Chang Xu 002; Minjing Dong; Chunjing Xu; Yunhe Wang 001 (NeurIPS, 2021)

SODA10M: A Large-Scale 2D Self/Semi-Supervised Object Detection Dataset for Autonomous Driving. - Jianhua Han; Xiwen Liang; Hang Xu 004; Kai Chen 023; Lanqing Hong; Jiageng Mao; Chaoqiang Ye; Wei Zhang 196; Zhenguo Li; Xiaodan Liang; Chunjing Xu (NeurIPS Datasets and Benchmarks, 2021)

Transformer in Transformer. - Kai Han 002; An Xiao; Enhua Wu; Jianyuan Guo; Chunjing Xu; Yunhe Wang 001 (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 004; Weiguo Gao; Chunjing Xu; Tao Xiang 002; Li Zhang 040 (NeurIPS, 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 196; Zhenguo Li; Jie Yu; Chunjing Xu; et al. (NeurIPS Datasets and Benchmarks, 2021)

Learning Frequency Domain Approximation for Binary Neural Networks. - Yixing Xu; Kai Han 002; Chang Xu 002; Yehui Tang; Chunjing Xu; Yunhe Wang 001 (NeurIPS, 2021)

GhostSR: Learning Ghost Features for Efficient Image Super-Resolution. - Ying Nie; Kai Han 002; Zhenhua Liu 003; An Xiao; Yiping Deng; Chunjing Xu; Yunhe Wang 001 (CoRR, 2021)

AdderNet and its Minimalist Hardware Design for Energy-Efficient Artificial Intelligence. - Yunhe Wang 001; Mingqiang Huang; Kai Han 002; Hanting Chen; Wei Zhang 196; Chunjing Xu; Dacheng Tao (CoRR, 2021)

Adder Neural Networks. - Hanting Chen; Yunhe Wang 001; Chang Xu 002; Chao Xu 006; Chunjing Xu; Tong Zhang 001 (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 196; Zhenguo Li; Jie Yu; Hang Xu 004; Chunjing Xu (CoRR, 2021)

SODA10M: Towards Large-Scale Object Detection Benchmark for Autonomous Driving. - Jianhua Han; Xiwen Liang; Hang Xu 004; Kai Chen 023; Lanqing Hong; Chaoqiang Ye; Wei Zhang 196; Zhenguo Li; Xiaodan Liang; Chunjing Xu (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)

CMT: Convolutional Neural Networks Meet Vision Transformers. - Jianyuan Guo; Kai Han 002; Han Wu 009; Chang Xu 002; Yehui Tang; Chunjing Xu; Yunhe Wang 001 (CoRR, 2021)

Greedy Network Enlarging. - Chuanjian Liu; Kai Han 002; An Xiao; Yiping Deng; Wei Zhang 196; Chunjing Xu; Yunhe Wang 001 (CoRR, 2021)

Laneformer: Object-Aware Row-Column Transformers for Lane Detection. - Jianhua Han; Xiajun Deng; Xinyue Cai; Zhen Yang; Hang Xu 004; Chunjing Xu; Xiaodan Liang (AAAI, 2022)

Task-Customized Self-Supervised Pre-training with Scalable Dynamic Routing. - Zhili Liu; Jianhua Han; Lanqing Hong; Hang Xu 004; Kai Chen 023; Chunjing Xu; Zhenguo Li (AAAI, 2022)

ManiTrans: Entity-Level Text-Guided Image Manipulation via Token-wise Semantic Alignment and Generation. - Jianan Wang; Guansong Lu; Hang Xu 004; Zhenguo Li; Chunjing Xu; Yanwei Fu 001 (CVPR, 2022)

CODA: A Real-World Road Corner Case Dataset for Object Detection in Autonomous Driving. - Kaican Li; Kai Chen 023; Haoyu Wang; Lanqing Hong; Chaoqiang Ye; Jianhua Han; Yukuai Chen; Wei Zhang 196; Chunjing Xu; Dit-Yan Yeung; Xiaodan Liang; Zhenguo Li; et al. (ECCV (38), 2022)

Open-World Semantic Segmentation via Contrasting and Clustering Vision-Language Embedding. - Quande Liu; Youpeng Wen; Jianhua Han; Chunjing Xu; Hang Xu 004; Xiaodan Liang (ECCV (20), 2022)

LayouTransformer: Generating Layout Patterns with Transformer via Sequential Pattern Modeling. - Liangjian Wen; Yi Zhu 004; Lei Ye; Guojin Chen; Bei Yu 001; Jianzhuang Liu; Chunjing Xu (ICCAD, 2022)

FILIP: Fine-grained Interactive Language-Image Pre-Training. - Lewei Yao; Runhui Huang; Lu Hou 002; Guansong Lu; Minzhe Niu; Hang Xu 004; Xiaodan Liang; Zhenguo Li; Xin Jiang 002; Chunjing Xu (ICLR, 2022)

Wukong: A 100 Million Large-scale Chinese Cross-modal Pre-training Benchmark. - Jiaxi Gu; Xiaojun Meng; Guansong Lu; Lu Hou 002; Niu Minzhe; Xiaodan Liang; Lewei Yao; Runhui Huang; Wei Zhang 196; Xin Jiang 002; Chunjing Xu; Hang Xu 004 (NeurIPS, 2022)

Effective Adaptation in Multi-Task Co-Training for Unified Autonomous Driving. - Xiwen Liang; Yangxin Wu; Jianhua Han; Hang Xu 004; Chunjing Xu; Xiaodan Liang (NeurIPS, 2022)

DetCLIP: Dictionary-Enriched Visual-Concept Paralleled Pre-training for Open-world Detection. - Lewei Yao; Jianhua Han; Youpeng Wen; Xiaodan Liang; Dan Xu 002; Wei Zhang 196; Zhenguo Li; Chunjing Xu; Hang Xu 004 (NeurIPS, 2022)

Wukong: 100 Million Large-scale Chinese Cross-modal Pre-training Dataset and A Foundation Framework. - Jiaxi Gu; Xiaojun Meng; Guansong Lu; Lu Hou 002; Minzhe Niu; Hang Xu 004; Xiaodan Liang; Wei Zhang 196; Xin Jiang 002; Chunjing Xu (CoRR, 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 004; Chunjing Xu; Xiaodan Liang (CoRR, 2022)

GhostNets on Heterogeneous Devices via Cheap Operations. - Kai Han 002; Yunhe Wang 001; Chang Xu 002; Jianyuan Guo; Chunjing Xu; Enhua Wu; Qi Tian 001 (Int. J. Comput. Vis., 2022)

Learning Versatile Convolution Filters for Efficient Visual Recognition. - Kai Han 002; Yunhe Wang 001; Chang Xu 002; Chunjing Xu; Enhua Wu; Dacheng Tao (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

NLIP: Noise-Robust Language-Image Pre-training. - Runhui Huang; Yanxin Long; Jianhua Han; Hang Xu 004; Xiwen Liang; Chunjing Xu; Xiaodan Liang (AAAI, 2023)

Visual Exemplar Driven Task-Prompting for Unified Perception in Autonomous Driving. - Xiwen Liang; Minzhe Niu; Jianhua Han; Hang Xu 004; Chunjing Xu; Xiaodan Liang (CVPR, 2023)

FlowMap: Path Generation for Automated Vehicles in Open Space Using Traffic Flow. - Wenchao Ding 001; Jieru Zhao; Yubin Chu; Haihui Huang; Tong Qin 001; Chunjing Xu; Yuxiang Guan; Zhongxue Gan (ICRA, 2023)

Topology Reasoning for Driving Scenes. - Tianyu Li; Li Chen 008; Xiangwei Geng; Huijie Wang; Yang Li 189; Zhenbo Liu; Shengyin Jiang; Yuting Wang; Hang Xu 004; Chunjing Xu; Feng Wen; Ping Luo 002; et al. (CoRR, 2023)

Open-sourced Data Ecosystem in Autonomous Driving: the Present and Future. - Hongyang Li 001; Yang Li 189; Huijie Wang; Jia Zeng; Pinlong Cai; Huilin Xu; Dahua Lin; Junchi Yan; Feng Xu; Lu Xiong; Jingdong Wang 001; Futang Zhu; et al. (CoRR, 2023)

A Survey on Vision Transformer. - Kai Han 002; Yunhe Wang 001; Hanting Chen; Xinghao Chen 001; Jianyuan Guo; Zhenhua Liu 003; Yehui Tang; An Xiao; Chunjing Xu; Yixing Xu; Zhaohui Yang 003; Yiman Zhang; et al. (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Pix2Planning: End-to-End Planning by Vision-language Model for Autonomous Driving on Carla Simulator. - Xiangru Mu; Tong Qin 001; Songan Zhang; Chunjing Xu; Ming Yang 002 (IV, 2024)

2D-3D Cross-Modality Network for End-to-End Localization with Probabilistic Supervision. - Jin Pan; Xiangru Mu; Tong Qin 001; Chunjing Xu; Ming Yang 002 (IV, 2024)

BLOS-BEV: Navigation Map Enhanced Lane Segmentation Network, Beyond Line of Sight. - Hang Wu; Zhenghao Zhang; Siyuan Lin; Tong Qin 001; Jin Pan; Qiang Zhao; Chunjing Xu; Ming Yang 002 (IV, 2024)

E2E Parking: Autonomous Parking by the End-to-end Neural Network on the CARLA Simulator. - Yunfan Yang; Denglong Chen; Tong Qin 001; Xiangru Mu; Chunjing Xu; Ming Yang 002 (IV, 2024)

Fine-Grained Visual-Text Prompt-Driven Self-Training for Open-Vocabulary Object Detection. - Yanxin Long; Jianhua Han; Runhui Huang; Hang Xu 004; Yi Zhu 004; Chunjing Xu; Xiaodan Liang (IEEE Trans. Neural Networks Learn. Syst., 2024)

ECCV 2024 W-CODA: 1st Workshop on Multimodal Perception and Comprehension of Corner Cases in Autonomous Driving. - Kai Chen 023; Ruiyuan Gao 001; Lanqing Hong; Hang Xu 004; Xu Jia 012; Holger Caesar; Dengxin Dai; Bingbing Liu; Dzmitry Tsishkou; Songcen Xu; Chunjing Xu; Qiang Xu 001; et al. (CoRR, 2025)