Wei Zhang

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 45

Top Topics

Object Detection

Autonomous Driving

Neural Architecture

Top Venues

Publications

Chenhan Jiang, Yihan Zeng, Tianyang Hu, Songcun Xu, Wei Zhang, Hang Xu, Dit-Yan Yeung
JointDreamer: Ensuring Geometry Consistency and Text Congruence in Text-to-3D Generation via Joint Score Distillation. CoRR (2024)
Runhui Huang, Kaixin Cai, Jianhua Han, Xiaodan Liang, Renjing Pei, Guansong Lu, Songcen Xu, Wei Zhang, Hang Xu
LayerDiff: Exploring Text-guided Multi-layered Composable Image Synthesis via Layer-Collaborative Diffusion Model. CoRR (2024)
Renjie Pi, Lewei Yao, Jianhua Han, Xiaodan Liang, Wei Zhang, Hang Xu
Ins-DetCLIP: Aligning Detection Model to Follow Human-Language Instruction. ICLR (2024)
Runhui Huang, Jianhua Han, Guansong Lu, Xiaodan Liang, Yihan Zeng, Wei Zhang, Hang Xu
DiffDis: Empowering Generative Diffusion Model with Cross-Modal Discrimination Capability. CoRR (2023)
Yanxin Long, Youpeng Wen, Jianhua Han, Hang Xu, Pengzhen Ren, Wei Zhang, Shen Zhao, Xiaodan Liang
CapDet: Unifying Dense Captioning and Open-World Detection Pretraining. CoRR (2023)
Zutao Jiang, Guansong Lu, Xiaodan Liang, Jihua Zhu, Wei Zhang, Xiaojun Chang, Hang Xu
3D-TOGO: Towards Text-Guided Cross-Category 3D Object Generation. AAAI (2023)
Yanxin Long, Youpeng Wen, Jianhua Han, Hang Xu, Pengzhen Ren, Wei Zhang, Shen Zhao, Xiaodan Liang
CapDet: Unifying Dense Captioning and Open-World Detection Pretraining. CVPR (2023)
Lewei Yao, Jianhua Han, Xiaodan Liang, Dan Xu, Wei Zhang, Zhenguo Li, Hang Xu
DetCLIPv2: Scalable Open-Vocabulary Object Detection Pre-training via Word-Region Alignment. CVPR (2023)
Huijie Wang, Zhenbo Liu, Yang Li, Tianyu Li, Li Chen, Chonghao Sima, Yuting Wang, Shengyin Jiang, Feng Wen, Hang Xu, Ping Luo, Junchi Yan, Wei Zhang, Jun Yao, Yu Qiao, Hongyang Li
Road Genome: A Topology Reasoning Benchmark for Scene Understanding in Autonomous Driving. CoRR (2023)
Xinchi Deng, Han Shi, Runhui Huang, Changlin Li, Hang Xu, Jianhua Han, James T. Kwok, Shen Zhao, Wei Zhang, Xiaodan Liang
GrowCLIP: Data-aware Automatic Model Growing for Large-scale Contrastive Language-Image Pre-training. CoRR (2023)
Cuican Yu, Guansong Lu, Yihan Zeng, Jian Sun, Xiaodan Liang, Huibin Li, Zongben Xu, Songcen Xu, Wei Zhang, Hang Xu
Towards High-Fidelity Text-Guided 3D Face Generation and Manipulation Using only Images. CoRR (2023)
Zutao Jiang, Guansong Lu, Xiaodan Liang, Jihua Zhu, Wei Zhang, Xiaojun Chang, Hang Xu
3D-TOGO: Towards Text-Guided Cross-Category 3D Object Generation. CoRR (2022)
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
CODA: A Real-World Road Corner Case Dataset for Object Detection in Autonomous Driving. ECCV (38) (2022)
Zhongwei Wan, Yichun Yin, Wei Zhang, Jiaxin Shi, Lifeng Shang, Guangyong Chen, Xin Jiang, Qun Liu
G-MAP: General Memory-Augmented Pre-trained Language Model for Domain Tasks. CoRR (2022)
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
CODA: A Real-World Road Corner Case Dataset for Object Detection in Autonomous Driving. CoRR (2022)
Chaofan Tao, Lu Hou, Wei Zhang, Lifeng Shang, Xin Jiang, Qun Liu, Ping Luo, Ngai Wong
Compression of Generative Pre-trained Language Models via Quantization. CoRR (2022)
Lewei Yao, Jianhua Han, Youpeng Wen, Xiaodan Liang, Dan Xu, Wei Zhang, Zhenguo Li, Chunjing Xu, Hang Xu
DetCLIP: Dictionary-Enriched Visual-Concept Paralleled Pre-training for Open-world Detection. NeurIPS (2022)
Chuanjian Liu, Kai Han, An Xiao, Ying Nie, Wei Zhang, Yunhe Wang
Network Amplification with Efficient MACs Allocation. CVPR Workshops (2022)
Chuanjian Liu, Kai Han, An Xiao, Yiping Deng, Wei Zhang, Chunjing Xu, Yunhe Wang
Greedy Network Enlarging. CoRR (2021)
Yunhe Wang, Mingqiang Huang, Kai Han, Hanting Chen, Wei Zhang, Chunjing Xu, Dacheng Tao
AdderNet and its Minimalist Hardware Design for Energy-Efficient Artificial Intelligence. CoRR (2021)
Jianhua Han, Xiwen Liang, Hang Xu, Kai Chen, Lanqing Hong, Jiageng Mao, Chaoqiang Ye, Wei Zhang, Zhenguo Li, Xiaodan Liang, Chunjing Xu
SODA10M: A Large-Scale 2D Self/Semi-Supervised Object Detection Dataset for Autonomous Driving. NeurIPS Datasets and Benchmarks (2021)
Lewei Yao, Renjie Pi, Hang Xu, Wei Zhang, Zhenguo Li, Tong Zhang
Joint-DetNAS: Upgrade Your Detector with NAS, Pruning and Dynamic Distillation. CoRR (2021)
Hanxue Liang, Chenhan Jiang, Dapeng Feng, Xin Chen, Hang Xu, Xiaodan Liang, Wei Zhang, Zhenguo Li, Luc Van Gool
Exploring Geometry-aware Contrast and Clustering Harmonization for Self-supervised 3D Object Detection. ICCV (2021)
Zhaohui Yang, Yunhe Wang, Xinghao Chen, Jianyuan Guo, Wei Zhang, Chao Xu, Chunjing Xu, Dacheng Tao, Chang Xu
HourNAS: Extremely Fast Neural Architecture Search Through an Hourglass Lens. CVPR (2021)
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
One Million Scenes for Autonomous Driving: ONCE Dataset. NeurIPS Datasets and Benchmarks (2021)
Lewei Yao, Renjie Pi, Hang Xu, Wei Zhang, Zhenguo Li, Tong Zhang
Joint-DetNAS: Upgrade Your Detector With NAS, Pruning and Dynamic Distillation. CVPR (2021)
Jianhua Han, Xiwen Liang, Hang Xu, Kai Chen, Lanqing Hong, Chaoqiang Ye, Wei Zhang, Zhenguo Li, Xiaodan Liang, Chunjing Xu
SODA10M: Towards Large-Scale Object Detection Benchmark for Autonomous Driving. CoRR (2021)
Zhenhua Liu, Yunhe Wang, Kai Han, Wei Zhang, Siwei Ma, Wen Gao
Post-Training Quantization for Vision Transformer. NeurIPS (2021)
Yanning Zhou, Hang Xu, Wei Zhang, Bin Gao, Pheng-Ann Heng
-SemiSeg: Contrastive Semi-supervised Segmentation via Cross-set Learning and Dynamic Class-balancing. ICCV (2021)
Jiageng Mao, Minzhe Niu, Chenhan Jiang, Hanxue Liang, Xiaodan Liang, Yamin Li, Chaoqiang Ye, Wei Zhang, Zhenguo Li, Jie Yu, Hang Xu, Chunjing Xu
One Million Scenes for Autonomous Driving: ONCE Dataset. CoRR (2021)
Fuhui Tang, Chenhan Jiang, Dafeng Wei, Hang Xu, Andi Zhang, Wei Zhang, Hongtao Lu, Chunjing Xu
Towards Dynamic and Scalable Active Learning with Neural Architecture Adaption for Object Detection. BMVC (2021)
Lewei Yao, Renjie Pi, Hang Xu, Wei Zhang, Zhenguo Li, Tong Zhang
G-DetKD: Towards General Distillation Framework for Object Detectors via Contrastive and Semantic-guided Feature Imitation. CoRR (2021)
Lewei Yao, Renjie Pi, Hang Xu, Wei Zhang, Zhenguo Li, Tong Zhang
G-DetKD: Towards General Distillation Framework for Object Detectors via Contrastive and Semantic-guided Feature Imitation. ICCV (2021)
Yixing Xu, Chang Xu, Xinghao Chen, Wei Zhang, Chunjing Xu, Yunhe Wang
Kernel Based Progressive Distillation for Adder Neural Networks. CoRR (2020)
Lewei Yao, Hang Xu, Wei Zhang, Xiaodan Liang, Zhenguo Li
SM-NAS: Structural-to-Modular Neural Architecture Search for Object Detection. AAAI (2020)
Hang Xu, Shaoju Wang, Xinyue Cai, Wei Zhang, Xiaodan Liang, Zhenguo Li
CurveLane-NAS: Unifying Lane-Sensitive Architecture Search and Adaptive Point Blending. CoRR (2020)
Chenhan Jiang, Hang Xu, Wei Zhang, Xiaodan Liang, Zhenguo Li
SP-NAS: Serial-to-Parallel Backbone Search for Object Detection. CVPR (2020)
Yixing Xu, Chang Xu, Xinghao Chen, Wei Zhang, Chunjing Xu, Yunhe Wang
Kernel Based Progressive Distillation for Adder Neural Networks. NeurIPS (2020)
Guilin Li, Junlei Zhang, Yunhe Wang, Chuanjian Liu, Matthias Tan, Yunfeng Lin, Wei Zhang, Jiashi Feng, Tong Zhang
Residual Distillation: Towards Portable Deep Neural Networks without Shortcuts. NeurIPS (2020)
Kai Han, Yunhe Wang, Qiulin Zhang, Wei Zhang, Chunjing Xu, Tong Zhang
Model Rubik's Cube: Twisting Resolution, Depth and Width for TinyNets. NeurIPS (2020)
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
VEGA: Towards an End-to-End Configurable AutoML Pipeline. CoRR (2020)
Kai Han, Yunhe Wang, Qiulin Zhang, Wei Zhang, Chunjing Xu, Tong Zhang
Model Rubik's Cube: Twisting Resolution, Depth and Width for TinyNets. CoRR (2020)
Hang Xu, Shaoju Wang, Xinyue Cai, Wei Zhang, Xiaodan Liang, Zhenguo Li
CurveLane-NAS: Unifying Lane-Sensitive Architecture Search and Adaptive Point Blending. ECCV (15) (2020)
Lewei Yao, Hang Xu, Wei Zhang, Xiaodan Liang, Zhenguo Li
SM-NAS: Structural-to-Modular Neural Architecture Search for Object Detection. CoRR (2019)
Hang Xu, Lewei Yao, Zhenguo Li, Xiaodan Liang, Wei Zhang
Auto-FPN: Automatic Network Architecture Adaptation for Object Detection Beyond Classification. ICCV (2019)