Xiangxiang Chu

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 76

Top Topics

Object Detection

Image Super Resolution

Neural Architecture

Policy Gradient

Top Venues

Publications

Sifan Zhou, Liang Li, Xinyu Zhang, Bo Zhang, Shipeng Bai, Miao Sun, Ziyu Zhao, Xiaobo Lu, Xiangxiang Chu
LiDAR-PTQ: Post-Training Quantization for Point Cloud 3D Object Detection. CoRR (2024)
Zhaochen Liu, Limeng Qiao, Xiangxiang Chu, Tingting Jiang
PLUG: Revisiting Amodal Segmentation with Foundation Model and Hierarchical Focus. CoRR (2024)
Zhengze Xu, Dongyue Wu, Changqian Yu, Xiangxiang Chu, Nong Sang, Changxin Gao
SCTNet: Single-Branch CNN with Transformer Semantic Information for Real-Time Segmentation. AAAI (2024)
Xiangxiang Chu, Limeng Qiao, Xinyu Zhang, Shuang Xu, Fei Wei, Yang Yang, Xiaofei Sun, Yiming Hu, Xinyang Lin, Bo Zhang, Chunhua Shen
MobileVLM V2: Faster and Stronger Baseline for Vision Language Model. CoRR (2024)
Honghao Chen, Xiangxiang Chu, Yongjian Ren, Xin Zhao, Kaiqi Huang
PeLK: Parameter-efficient Large Kernel ConvNets with Peripheral Convolution. CoRR (2024)
Di Qiu, Xinyang Lin, Kaiye Wang, Xiangxiang Chu, Pengfei Yan
AdaFedFR: Federated Face Recognition with Adaptive Inter-Class Representation Learning. CoRR (2024)
Xiangxiang Chu, Liang Li, Bo Zhang
Make RepVGG Greater Again: A Quantization-Aware Approach. AAAI (2024)
Honghao Chen, Yurong Zhang, Xiaokun Feng, Xiangxiang Chu, Kaiqi Huang
Revealing the Dark Secrets of Extremely Large Kernel ConvNets on Robustness. CoRR (2024)
Yurong Zhang, Honghao Chen, Xinyu Zhang, Xiangxiang Chu, Li Song
Dyn-Adapter: Towards Disentangled Representation for Efficient Visual Recognition. CoRR (2024)
Xiangxiang Chu, Jianlin Su, Bo Zhang, Chunhua Shen
VisionLLaMA: A Unified LLaMA Interface for Vision Tasks. CoRR (2024)
Liang Li, Qingyuan Li, Bo Zhang, Xiangxiang Chu
Norm Tweaking: High-Performance Low-Bit Quantization of Large Language Models. AAAI (2024)
Xiaoming Wang, Hao Chen, Xiangxiang Chu, Peng Wang
AODet: Aerial Object Detection Using Transformers for Foreground Regions. IEEE Trans. Geosci. Remote. Sens. 62 (2024)
Yuhe Liu, Mengxue Kang, Zengchang Qin, Xiangxiang Chu
LogicalDefender: Discovering, Extracting, and Utilizing Common-Sense Knowledge. CoRR (2024)
Sifan Zhou, Liang Li, Xinyu Zhang, Bo Zhang, Shipeng Bai, Miao Sun, Ziyu Zhao, Xiaobo Lu, Xiangxiang Chu
LiDAR-PTQ: Post-Training Quantization for Point Cloud 3D Object Detection. ICLR (2024)
Kaiheng Weng, Xiangxiang Chu, Xiaoming Xu, Junshi Huang, Xiaoming Wei
EfficientRep: An Efficient Repvgg-style ConvNets with Hardware-aware Neural Network Design. CoRR (2023)
Chengjian Feng, Zequn Jie, Yujie Zhong, Xiangxiang Chu, Lin Ma
AeDet: Azimuth-Invariant Multi-View 3D Object Detection. CVPR (2023)
Qingyuan Li, Yifan Zhang, Liang Li, Peng Yao, Bo Zhang, Xiangxiang Chu, Yerui Sun, Li Du, Yuchen Xie
FPTQ: Fine-grained Post-Training Quantization for Large Language Models. CoRR (2023)
Yiming Hu, Xiangxiang Chu, Bo Zhang
Masked Autoencoders Are Robust Neural Architecture Search Learners. CoRR (2023)
Xiangxiang Chu, Shun Lu, Xudong Li, Bo Zhang
MixPath: A Unified Approach for One-shot Neural Architecture Search. ICCV (2023)
Sifan Zhou, Zhi Tian, Xiangxiang Chu, Xinyu Zhang, Bo Zhang, Xiaobo Lu, Chengjian Feng, Zequn Jie, Patrick Yin Chiang, Lin Ma
FastPillars: A Deployment-friendly Pillar-based 3D Detector. CoRR (2023)
Chuyi Li, Lulu Li, Yifei Geng, Hongliang Jiang, Meng Cheng, Bo Zhang, Zaidan Ke, Xiaoming Xu, Xiangxiang Chu
YOLOv6 v3.0: A Full-Scale Reloading. CoRR (2023)
Qingyuan Li, Ran Meng, Yiduo Li, Bo Zhang, Liang Li, Yifan Lu, Xiangxiang Chu, Yerui Sun, Yuchen Xie
A Speed Odyssey for Deployable Quantization of LLMs. CoRR (2023)
Shuang Xu, Sifan Zhou, Zhi Tian, Jizhou Ma, Qiong Nie, Xiangxiang Chu
RobustCalib: Robust Lidar-Camera Extrinsic Calibration with Consistency Learning. CoRR (2023)
Liang Li, Qingyuan Li, Bo Zhang, Xiangxiang Chu
Norm Tweaking: High-performance Low-bit Quantization of Large Language Models. CoRR (2023)
Zhengze Xu, Dongyue Wu, Changqian Yu, Xiangxiang Chu, Nong Sang, Changxin Gao
SCTNet: Single-Branch CNN with Transformer Semantic Information for Real-Time Segmentation. CoRR (2023)
Xiaoxing Wang, Xiangxiang Chu, Yuda Fan, Zhexi Zhang, Bo Zhang, Xiaokang Yang, Junchi Yan
ROME: Robustifying Memory-Efficient NAS via Topology Disentanglement and Gradient Accumulation. ICCV (2023)
Fei Wei, Xinyu Zhang, Ailing Zhang, Bo Zhang, Xiangxiang Chu
Lenna: Language Enhanced Reasoning Detection Assistant. CoRR (2023)
Xiangxiang Chu, Limeng Qiao, Xinyang Lin, Shuang Xu, Yang Yang, Yiming Hu, Fei Wei, Xinyu Zhang, Bo Zhang, Xiaolin Wei, Chunhua Shen
MobileVLM : A Fast, Strong and Open Vision Language Assistant for Mobile Devices. CoRR (2023)
Xiangxiang Chu, Zhi Tian, Bo Zhang, Xinlong Wang, Chunhua Shen
Conditional Positional Encodings for Vision Transformers. ICLR (2023)
Xiangxiang Chu, Liang Li, Bo Zhang
Make RepVGG Greater Again: A Quantization-aware Approach. CoRR (2022)
Bowen Zhang, Zhi Tian, Quan Tang, Xiangxiang Chu, Xiaolin Wei, Chunhua Shen, Yifan Liu
SegViT: Semantic Segmentation with Plain Vision Transformers. CoRR (2022)
Zhi Tian, Xiangxiang Chu, Xiaoming Wang, Xiaolin Wei, Chunhua Shen
Fully Convolutional One-Stage 3D Object Detection on LiDAR Range Images. NeurIPS (2022)
Wangbo Zhao, Kai Wang, Xiangxiang Chu, Fuzhao Xue, Xinchao Wang, Yang You
Modeling Motion with Multi-Modal Features for Text-Based Video Segmentation. CVPR (2022)
Qingyuan Li, Bo Zhang, Xiangxiang Chu
EAPruning: Evolutionary Pruning for Vision Transformers and CNNs. BMVC (2022)
Chengjian Feng, Zequn Jie, Yujie Zhong, Xiangxiang Chu, Lin Ma
AeDet: Azimuth-invariant Multi-view 3D Object Detection. CoRR (2022)
Chuyi Li, Lulu Li, Hongliang Jiang, Kaiheng Weng, Yifei Geng, Liang Li, Zaidan Ke, Qingyuan Li, Meng Cheng, Weiqiang Nie, Yiduo Li, Bo Zhang, Yufei Liang, Linyuan Zhou, Xiaoming Xu, Xiangxiang Chu, Xiaoming Wei, Xiaolin Wei
YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications. CoRR (2022)
Bowen Zhang, Zhi Tian, Quan Tang, Xiangxiang Chu, Xiaolin Wei, Chunhua Shen, Yifan Liu
SegViT: Semantic Segmentation with Plain Vision Transformers. NeurIPS (2022)
Chengjian Feng, Yujie Zhong, Zequn Jie, Xiangxiang Chu, Haibing Ren, Xiaolin Wei, Weidi Xie, Lin Ma
PromptDet: Expand Your Detector Vocabulary with Uncurated Images. CoRR (2022)
Chengjian Feng, Yujie Zhong, Zequn Jie, Xiangxiang Chu, Haibing Ren, Xiaolin Wei, Weidi Xie, Lin Ma
PromptDet: Towards Open-Vocabulary Detection Using Uncurated Images. ECCV (9) (2022)
Xiangxiang Chu, Xiaohang Zhan, Bo Zhang
A Unified Mixture-View Framework for Unsupervised Representation Learning. BMVC (2022)
Qingyuan Li, Bo Zhang, Xiangxiang Chu
EAPruning: Evolutionary Pruning for Vision Transformers and CNNs. CoRR (2022)
Wangbo Zhao, Kai Wang, Xiangxiang Chu, Fuzhao Xue, Xinchao Wang, Yang You
Modeling Motion with Multi-Modal Features for Text-Based Video Segmentation. CoRR (2022)
Zhi Tian, Xiangxiang Chu, Xiaoming Wang, Xiaolin Wei, Chunhua Shen
Fully Convolutional One-Stage 3D Object Detection on LiDAR Range Images. CoRR (2022)
Xiangxiang Chu, Bo Zhang, Qingyuan Li, Ruijun Xu, Xudong Li
SCARLET-NAS: Bridging the Gap between Stability and Scalability in Weight-sharing Neural Architecture Search. ICCVW (2021)
Xiangxiang Chu, Xiaoxing Wang, Bo Zhang, Shun Lu, Xiaolin Wei, Junchi Yan
DARTS-: Robustly Stepping out of Performance Collapse Without Indicators. ICLR (2021)
Bo Zhang, WenFeng Li, Qingyuan Li, Weiji Zhuang, Xiangxiang Chu, Yujun Wang
AutoKWS: Keyword Spotting with Differentiable Architecture Search. ICASSP (2021)
Xiangxiang Chu, Zhi Tian, Yuqing Wang, Bo Zhang, Haibing Ren, Xiaolin Wei, Huaxia Xia, Chunhua Shen
Twins: Revisiting the Design of Spatial Attention in Vision Transformers. NeurIPS (2021)
Xiangxiang Chu, Bo Zhang, Ruijun Xu
FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural Architecture Search. ICCV (2021)
Ye Tian, Xiangxiang Chu, Hongpeng Wang
CCTrans: Simplifying and Improving Crowd Counting with Transformer. CoRR (2021)
Xiangxiang Chu, Bo Zhang
Noisy Differentiable Architecture Search. BMVC (2021)
Xiangxiang Chu, Bo Zhang, Zhi Tian, Xiaolin Wei, Huaxia Xia
Do We Really Need Explicit Position Encodings for Vision Transformers? CoRR (2021)
Xiangxiang Chu, Zhi Tian, Yuqing Wang, Bo Zhang, Haibing Ren, Xiaolin Wei, Huaxia Xia, Chunhua Shen
Twins: Revisiting Spatial Attention Design in Vision Transformers. CoRR (2021)
Xiaoxing Wang, Xiangxiang Chu, Junchi Yan, Xiaokang Yang
DAAS: Differentiable Architecture and Augmentation Policy Search. CoRR (2021)
Bo Zhang, WenFeng Li, Qingyuan Li, Weiji Zhuang, Xiangxiang Chu, Yujun Wang
AutoKWS: Keyword Spotting with Differentiable Architecture Search. CoRR (2020)
Xiaoxing Wang, Xiangxiang Chu, Yuda Fan, Zhexi Zhang, Xiaolin Wei, Junchi Yan, Xiaokang Yang
ROME: Robustifying Memory-Efficient NAS via Topology Disentanglement and Gradients Accumulation. CoRR (2020)
Xiangxiang Chu, Xiaoxing Wang, Bo Zhang, Shun Lu, Xiaolin Wei, Junchi Yan
DARTS-: Robustly Stepping out of Performance Collapse Without Indicators. CoRR (2020)
Xiangxiang Chu, Xiaohang Zhan, Xiaolin Wei
Beyond Single Instance Multi-view Unsupervised Representation Learning. CoRR (2020)
Xiangxiang Chu, Bo Zhang, Xudong Li
Noisy Differentiable Architecture Search. CoRR (2020)
Xiangxiang Chu, Bo Zhang, Ruijun Xu
MoGA: Searching Beyond Mobilenetv3. ICASSP (2020)
Jixiang Li, Chuming Liang, Bo Zhang, Zhao Wang, Fei Xiang, Xiangxiang Chu
Neural Architecture Search on Acoustic Scene Classification. INTERSPEECH (2020)
Xiangxiang Chu, Tianbao Zhou, Bo Zhang, Jixiang Li
Fair DARTS: Eliminating Unfair Advantages in Differentiable Architecture Search. ECCV (15) (2020)
Xiangxiang Chu, Xudong Li, Yi Lu, Bo Zhang, Jixiang Li
MixPath: A Unified Approach for One-shot Neural Architecture Search. CoRR (2020)
Hailong Ma, Xiangxiang Chu, Bo Zhang
Accurate and Efficient Single Image Super-Resolution with Matrix Channel Attention Network. ACCV (2) (2020)
Xiangxiang Chu, Bo Zhang, Ruijun Xu
Multi-objective Reinforced Evolution in Mobile Neural Architecture Search. ECCV Workshops (4) (2020)
Xiangxiang Chu, Bo Zhang, Hailong Ma, Ruijun Xu, Qingyuan Li
Fast, Accurate and Lightweight Super-Resolution with Neural Architecture Search. ICPR (2020)
Xiangxiang Chu, Tianbao Zhou, Bo Zhang, Jixiang Li
Fair DARTS: Eliminating Unfair Advantages in Differentiable Architecture Search. CoRR (2019)
Jixiang Li, Chuming Liang, Bo Zhang, Zhao Wang, Fei Xiang, Xiangxiang Chu
Neural Architecture Search on Acoustic Scene Classification. CoRR (2019)
Xiangxiang Chu, Bo Zhang, Ruijun Xu, Hailong Ma
Multi-Objective Reinforced Evolution in Mobile Neural Architecture Search. CoRR (2019)
Xiangxiang Chu, Bo Zhang, Hailong Ma, Ruijun Xu, Jixiang Li, Qingyuan Li
Fast, Accurate and Lightweight Super-Resolution with Neural Architecture Search. CoRR (2019)
Xiangxiang Chu, Bo Zhang, Jixiang Li, Qingyuan Li, Ruijun Xu
ScarletNAS: Bridging the Gap Between Scalability and Fairness in Neural Architecture Search. CoRR (2019)
Xiangxiang Chu, Bo Zhang, Ruijun Xu, Jixiang Li
FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural Architecture Search. CoRR (2019)
Xiangxiang Chu, Bo Zhang, Ruijun Xu
MoGA: Searching Beyond MobileNetV3. CoRR (2019)
Hailong Ma, Xiangxiang Chu, Bo Zhang, Shaohua Wan, Bo Zhang
A Matrix-in-matrix Neural Network for Image Super Resolution. CoRR (2019)
Xiangxiang Chu, Xinjie Yu
Improved Crowding Distance for NSGA-II. CoRR (2018)
Xiangxiang Chu
Policy Optimization With Penalized Point Probability Distance: An Alternative To Proximal Policy Optimization. CoRR (2018)
Xiangxiang Chu, Hangjun Ye
Parameter Sharing Deep Deterministic Policy Gradient for Cooperative Multi-agent Reinforcement Learning. CoRR (2017)