Shanghang Zhang

ORCID

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 197

Top Venues

Publications

Guanqun Wang, Xinyu Wei, Jiaming Liu, Ray Zhang, Yichi Zhang, Kevin Zhang, Maurice Chong, Shanghang Zhang
MR-MLLM: Mutual Reinforcement of Multimodal Comprehension and Vision Perception. CoRR (2024)
Jiaming Liu, Chenxuan Li, Guanqun Wang, Lily Lee, Kaichen Zhou, Sixiang Chen, Chuyan Xiong, Jiaxin Ge, Renrui Zhang, Shanghang Zhang
Self-Corrected Multimodal Large Language Model for End-to-End Robot Manipulation. CoRR (2024)
Rongyu Zhang, Aosong Cheng, Yulin Luo, Gaole Dai, Huanrui Yang, Jiaming Liu, Ran Xu, Li Du, Yuan Du, Yanbing Jiang, Shanghang Zhang
Decomposing the Neurons: Activation Sparsity via Mixture of Experts for Continual Test Time Adaptation. CoRR (2024)
Jianxu Chen, Florian Jug, Susanne M. Rafelski, Shanghang Zhang
The Emerging Issues in Bioimaging AI Publications and Research (Dagstuhl Seminar 24042). Dagstuhl Reports 14 (1) (2024)
Shiyao Li, Xuefei Ning, Shanghang Zhang, Lidong Guo, Tianchen Zhao, Huazhong Yang, Yu Wang
TCP: Triplet Contrastive-relationship Preserving for Class-Incremental Learning. WACV (2024)
Yuan Zhang, Fei Xiao, Tao Huang, Chun-Kai Fan, Hongyuan Dong, Jiawen Li, Jiacong Wang, Kuan Cheng, Shanghang Zhang, Haoyuan Guo
Unveiling the Tapestry of Consistency in Large Vision-Language Models. CoRR (2024)
Jiaming Liu, Mengzhen Liu, Zhenyu Wang, Lily Lee, Kaichen Zhou, Pengju An, Senqiao Yang, Renrui Zhang, Yandong Guo, Shanghang Zhang
RoboMamba: Multimodal State Space Model for Efficient Robot Reasoning and Manipulation. CoRR (2024)
Rongyu Zhang, Zefan Cai, Huanrui Yang, Zidong Liu, Denis A. Gudovskiy, Tomoyuki Okuno, Yohei Nakata, Kurt Keutzer, Baobao Chang, Yuan Du, Li Du, Shanghang Zhang
VeCAF: VLM-empowered Collaborative Active Finetuning with Training Objective Awareness. CoRR (2024)
Huanrui Yang, Yafeng Huang, Zhen Dong, Denis A. Gudovskiy, Tomoyuki Okuno, Yohei Nakata, Yuan Du, Kurt Keutzer, Shanghang Zhang
Fisher-aware Quantization for DETR Detectors with Critical-category Objectives. CoRR (2024)
Renrui Zhang, Xinyu Wei, Dongzhi Jiang, Yichi Zhang, Ziyu Guo, Chengzhuo Tong, Jiaming Liu, Aojun Zhou, Bin Wei, Shanghang Zhang, Peng Gao, Hongsheng Li
MAVIS: Mathematical Visual Instruction Tuning. CoRR (2024)
Tianyu Chen, Haoyi Zhou, Ying Li, Hao Wang, Chonghan Gao, Shanghang Zhang, Jianxin Li
Building Flexible Machine Learning Models for Scientific Computing at Scale. CoRR (2024)
Dongmei Zhang, Chang Li, Renrui Zhang, Shenghao Xie, Wei Xue, Xiaodong Xie, Shanghang Zhang
FM-OV3D: Foundation Model-Based Cross-Modal Knowledge Blending for Open-Vocabulary 3D Detection. AAAI (2024)
Jianlin Xie, Guanqun Wang, Yin Zhuang, Can Li, Tong Zhang, He Chen, Liang Chen, Shanghang Zhang
DECOR: Dynamic Decoupling and Multiobjective Optimization for Long-Tailed Remote Sensing Image Classification. IEEE Trans. Geosci. Remote. Sens. 62 (2024)
Weifeng Lin, Xinyu Wei, Ruichuan An, Peng Gao, Bocheng Zou, Yulin Luo, Siyuan Huang, Shanghang Zhang, Hongsheng Li
Draw-and-Understand: Leveraging Visual Prompts to Enable MLLMs to Comprehend What You Want. CoRR (2024)
Gaole Dai, Zhenyu Wang, Qinwen Xu, Ming Lu, Wen Chen, Boxin Shi, Shanghang Zhang, Tie-Jun Huang
SpikeNVS: Enhancing Novel View Synthesis from Blurry Images via Spike Camera. CoRR (2024)
Hongzhi Gao, Zheng Chen, Zehui Chen, Lin Chen, Jiaming Liu, Shanghang Zhang, Feng Zhao
Point-DETR3D: Leveraging Imagery Data with Spatial Point Prior for Weakly Semi-supervised 3D Object Detection. CoRR (2024)
Jianing Li, Ming Lu, Jiaming Liu, Yandong Guo, Yuan Du, Li Du, Shanghang Zhang
BEV-LGKD: A Unified LiDAR-Guided Knowledge Distillation Framework for Multi-View BEV 3D Object Detection. IEEE Trans. Intell. Veh. 9 (1) (2024)
Zhenghong Wang, Sijie Ruan, Tianqiang Huang, Haoyi Zhou, Shanghang Zhang, Yi Wang, Leye Wang, Zhou Huang, Yu Liu
A lightweight multi-layer perceptron for efficient multivariate time series forecasting. Knowl. Based Syst. 288 (2024)
Ji Ma, Hongming Dai, Yao Mu, Pengying Wu, Hao Wang, Xiaowei Chi, Yang Fei, Shanghang Zhang, Chang Liu
DOZE: A Dataset for Open-Vocabulary Zero-Shot Object Navigation in Dynamic Environments. IEEE Robotics Autom. Lett. 9 (9) (2024)
Xingqun Qi, Zhuojie Wu, Wenxuan Zou, Min Ren, Yifan Gao, Muyi Sun, Shanghang Zhang, Caifeng Shan, Zhenan Sun
Exploring Generalizable Distillation for Efficient Medical Image Segmentation. IEEE J. Biomed. Health Informatics 28 (7) (2024)
Senqiao Yang, Jiarui Wu, Jiaming Liu, Xiaoqi Li, Qizhe Zhang, Mingjie Pan, Yulu Gan, Zehui Chen, Shanghang Zhang
Exploring Sparse Visual Prompt for Domain Adaptive Dense Prediction. AAAI (2024)
Yiwen Tang, Jiaming Liu, Dong Wang, Zhigang Wang, Shanghang Zhang, Bin Zhao, Xuelong Li
Any2Point: Empowering Any-modality Large Models for Efficient 3D Understanding. CoRR (2024)
Rongyu Zhang, Yulin Luo, Jiaming Liu, Huanrui Yang, Zhen Dong, Denis A. Gudovskiy, Tomoyuki Okuno, Yohei Nakata, Kurt Keutzer, Yuan Du, Shanghang Zhang
Efficient Deweahter Mixture-of-Experts with Uncertainty-Aware Feature-Wise Linear Modulation. AAAI (2024)
Zehui Chen, Qiuchen Wang, Zhenyu Li, Jiaming Liu, Shanghang Zhang, Feng Zhao
A Vanilla Multi-Task Framework for Dense Visual Prediction Solution to 1st VCL Challenge - Multi-Task Robustness Track. CoRR (2024)
Chi-Min Chan, Weize Chen, Yusheng Su, Jianxuan Yu, Wei Xue, Shanghang Zhang, Jie Fu, Zhiyuan Liu
ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate. ICLR (2024)
Jiaming Liu, Senqiao Yang, Peidong Jia, Renrui Zhang, Ming Lu, Yandong Guo, Wei Xue, Shanghang Zhang
ViDA: Homeostatic Visual Domain Adapter for Continual Test Time Adaptation. ICLR (2024)
Pengying Wu, Yao Mu, Bingxian Wu, Yi Hou, Ji Ma, Shanghang Zhang, Chang Liu
VoroNav: Voronoi-based Zero-shot Object Navigation with Large Language Model. CoRR (2024)
Peng Li, Yuan Liu, Xiaoxiao Long, Feihu Zhang, Cheng Lin, Mengfei Li, Xingqun Qi, Shanghang Zhang, Wenhan Luo, Ping Tan, Wenping Wang, Qifeng Liu, Yike Guo
Era3D: High-Resolution Multiview Diffusion using Efficient Row-wise Attention. CoRR (2024)
Nan Huang, Xiaobao Wei, Wenzhao Zheng, Pengju An, Ming Lu, Wei Zhan, Masayoshi Tomizuka, Kurt Keutzer, Shanghang Zhang
Gaussian: Self-Supervised Street Gaussians for Autonomous Driving. CoRR (2024)
Gaole Dai, Cheng-Ching Tseng, Qingpo Wuwu, Rongyu Zhang, Shaokang Wang, Ming Lu, Tiejun Huang, Yu Zhou, Ali Ata Tuz, Matthias Gunzer, Jianxu Chen, Shanghang Zhang
Implicit Neural Image Field for Biological Microscopy Image Compression. CoRR (2024)
Yulin Luo, Ruichuan An, Bocheng Zou, Yiming Tang, Jiaming Liu, Shanghang Zhang
LLM as Dataset Analyst: Subpopulation Structure Discovery with Large Language Model. CoRR (2024)
Jianing Li, Xi Nan, Ming Lu, Li Du, Shanghang Zhang
Proximity QA: Unleashing the Power of Multi-Modal Large Language Models for Spatial Proximity Analysis. CoRR (2024)
Jiaming Liu, Rongyu Zhang, Xiaoqi Li, Xiaowei Chi, Zehui Chen, Ming Lu, Yandong Guo, Shanghang Zhang
BEVUDA: Multi-geometric Space Alignments for Domain Adaptive BEV 3D Object Detection. ICRA (2024)
Mingjie Pan, Jiaming Liu, Renrui Zhang, Peixiang Huang, Xiaoqi Li, Hongwei Xie, Bing Wang, Li Liu, Shanghang Zhang
RenderOcc: Vision-Centric 3D Occupancy Prediction with 2D Rendering Supervision. ICRA (2024)
Jiayi Ni, Senqiao Yang, Ran Xu, Jiaming Liu, Xiaoqi Li, Wenyu Jiao, Zehui Chen, Yi Liu, Shanghang Zhang
Distribution-Aware Continual Test-Time Adaptation for Semantic Segmentation. ICRA (2024)
Ji Ma, Hongming Dai, Yao Mu, Pengying Wu, Hao Wang, Xiaowei Chi, Yang Fei, Shanghang Zhang, Chang Liu
DOZE: A Dataset for Open-Vocabulary Zero-Shot Object Navigation in Dynamic Environments. CoRR (2024)
Yueru Jia, Yuhui Yuan, Aosong Cheng, Chuke Wang, Ji Li, Huizhu Jia, Shanghang Zhang
DesignEdit: Multi-Layered Latent Decomposition and Fusion for Unified & Accurate Image Editing. CoRR (2024)
Hongzhi Gao, Zheng Chen, Zehui Chen, Lin Chen, Jiaming Liu, Shanghang Zhang, Feng Zhao
Leveraging Imagery Data with Spatial Point Prior for Weakly Semi-supervised 3D Object Detection. AAAI (2024)
Xingqun Qi, Hengyuan Zhang, Yatian Wang, Jiahao Pan, Chen Liu, Peng Li, Xiaowei Chi, Mengfei Li, Qixun Zhang, Wei Xue, Shanghang Zhang, Wenhan Luo, Qifeng Liu, Yike Guo
CoCoGesture: Toward Coherent Co-speech 3D Gesture Generation in the Wild. CoRR (2024)
Yijiang Liu, Rongyu Zhang, Huanrui Yang, Kurt Keutzer, Yuan Du, Li Du, Shanghang Zhang
Intuition-aware Mixture-of-Rank-1-Experts for Parameter Efficient Finetuning. CoRR (2024)
Shanghang Zhang, Gaole Dai, Tie-Jun Huang, Jianxu Chen
Multimodal Large Language Models for Bioimage Analysis. CoRR (2024)
Mengfei Li, Ming Lu, Xiaofang Li, Shanghang Zhang
RustNeRF: Robust Neural Radiance Field with Low-Quality Images. CoRR (2024)
Yixiong Zou, Shanghang Zhang, Haichen Zhou, Yuhua Li, Ruixuan Li
Compositional Few-Shot Class-Incremental Learning. CoRR (2024)
Xiaowei Chi, Yatian Wang, Aosong Cheng, Pengjun Fang, Zeyue Tian, Yingqing He, Zhaoyang Liu, Xingqun Qi, Jiahao Pan, Rongyu Zhang, Mengfei Li, Ruibin Yuan, Yanbing Jiang, Wei Xue, Wenhan Luo, Qifeng Chen, Shanghang Zhang, Qifeng Liu, Yike Guo
MMTrail: A Multimodal Trailer Video Dataset with Language and Music Descriptions. CoRR (2024)
Jiaming Liu, Qizhe Zhang, Xiaoqi Li, Jianing Li, Guanqun Wang, Ming Lu, Tiejun Huang, Shanghang Zhang
Unsupervised Spike Depth Estimation via Cross-modality Cross-domain Knowledge Transfer. ICRA (2024)
Anthony Chen, Kevin Zhang, Renrui Zhang, Zihan Wang, Yuheng Lu, Yandong Guo, Shanghang Zhang
PiMAE: Point Cloud and Image Interactive Masked Autoencoders for 3D Object Detection. CoRR (2023)
Rongyu Zhang, Yulin Luo, Jiaming Liu, Huanrui Yang, Zhen Dong, Denis A. Gudovskiy, Tomoyuki Okuno, Yohei Nakata, Kurt Keutzer, Yuan Du, Shanghang Zhang
Efficient Deweather Mixture-of-Experts with Uncertainty-aware Feature-wise Linear Modulation. CoRR (2023)
Wenqi Zhang, Yanjun Qin, Shanghang Zhang, Xiaoming Tao
Electroencephalogram-Based Driver Emotional State Detection with Manifold Learning. ITSC (2023)
Yijiang Liu, Huanrui Yang, Zhen Dong, Kurt Keutzer, Li Du, Shanghang Zhang
NoisyQuant: Noisy Bias-Enhanced Post-Training Activation Quantization for Vision Transformers. CVPR (2023)
Mingjie Pan, Yulu Gan, Fangxu Zhou, Jiaming Liu, Ying Zhang, Aimin Wang, Shanghang Zhang, Dawei Li
DiffuseIR: Diffusion Models for Isotropic Reconstruction of 3D Microscopic Images. MICCAI (10) (2023)
Jianchen Zhao, Cheng-Ching Tseng, Ming Lu, Ruichuan An, Xiaobao Wei, He Sun, Shanghang Zhang
MoEC: Mixture of Experts Implicit Neural Compression. CoRR (2023)
Anthony Chen, Huanrui Yang, Yulu Gan, Denis A. Gudovskiy, Zhen Dong, Haofan Wang, Tomoyuki Okuno, Yohei Nakata, Shanghang Zhang, Kurt Keutzer
Split-Ensemble: Efficient OOD-aware Ensemble via Task and Model Splitting. CoRR (2023)
Qizhe Zhang, Bocheng Zou, Ruichuan An, Jiaming Liu, Shanghang Zhang
Split & Merge: Unlocking the Potential of Visual Adapters via Sparse Training. CoRR (2023)
Jianyang Gu, Kai Wang, Hao Luo, Chen Chen, Wei Jiang, Yuqiang Fang, Shanghang Zhang, Yang You, Jian Zhao
MSINet: Twins Contrastive Search of Multi-Scale Interaction for Object ReID. CVPR (2023)
Yulin Luo, Rui Zhao, Xiaobao Wei, Jinwei Chen, Yijie Lu, Shenghao Xie, Tianyu Wang, Ruiqin Xiong, Ming Lu, Shanghang Zhang
MoWE: Mixture of Weather Experts for Multiple Adverse Weather Removal. CoRR (2023)
Xu Chu, Yujie Jin, Xin Wang, Shanghang Zhang, Yasha Wang, Wenwu Zhu, Hong Mei
Wasserstein Barycenter Matching for Graph Size Generalization of Message Passing Neural Networks. ICML (2023)
Qiang Zhou, Weize Li, Lihan Jiang, Guoliang Wang, Guyue Zhou, Shanghang Zhang, Hao Zhao
PAD: A Dataset and Benchmark for Pose-agnostic Anomaly Detection. NeurIPS (2023)
Yi Hou, Shanghang Zhang, Rui Ma, Huizhu Jia, Xiaodong Xie
Frame-Recurrent Video Crowd Counting. IEEE Trans. Circuits Syst. Video Technol. 33 (9) (2023)
Jiaxin Ge, Xinyan Chen, Tianjun Zhang, Shanghang Zhang
Iterative Prompt Relabeling for diffusion model with RLDF. CoRR (2023)
Atabak Dehban, Shanghang Zhang, Nino Cauli, Lorenzo Jamone, José Santos-Victor
Learning Deep Features for Robotic Inference From Physical Interactions. IEEE Trans. Cogn. Dev. Syst. 15 (3) (2023)
Chi-Min Chan, Weize Chen, Yusheng Su, Jianxuan Yu, Wei Xue, Shanghang Zhang, Jie Fu, Zhiyuan Liu
ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate. CoRR (2023)
Can Li, He Chen, Yin Zhuang, Shanghang Zhang
Uncertainty-Aware Dynamic Learning for Cross-Domain Few-Shot Scene Classification from Remote Sensing Imagery. IGARSS (2023)
Yifan Zhang, Zhen Dong, Huanrui Yang, Ming Lu, Cheng-Ching Tseng, Yuan Du, Kurt Keutzer, Li Du, Shanghang Zhang
QD-BEV : Quantization-aware View-guided Distillation for Multi-view 3D Object Detection. ICCV (2023)
Senqiao Yang, Jiaming Liu, Ray Zhang, Mingjie Pan, Zoey Guo, Xiaoqi Li, Zehui Chen, Peng Gao, Yandong Guo, Shanghang Zhang
LiDAR-LLM: Exploring the Potential of Large Language Models for 3D LiDAR Understanding. CoRR (2023)
Mingjie Pan, Yulu Gan, Fangxu Zhou, Jiaming Liu, Aimin Wang, Shanghang Zhang, Dawei Li
DiffuseIR: Diffusion Models For Isotropic Reconstruction of 3D Microscopic Images. CoRR (2023)
Gaole Dai, Wei Wu, Ziyu Wang, Jie Fu, Shanghang Zhang, Tiejun Huang
HUB: Guiding Learned Optimizers with Continuous Prompt Tuning. CoRR (2023)
Jianyang Gu, Kai Wang, Hao Luo, Chen Chen, Wei Jiang, Yuqiang Fang, Shanghang Zhang, Yang You, Jian Zhao
MSINet: Twins Contrastive Search of Multi-Scale Interaction for Object ReID. CoRR (2023)
Yuan Zhang, Tao Huang, Jiaming Liu, Tao Jiang, Kuan Cheng, Shanghang Zhang
FreeKD: Knowledge Distillation via Semantic Frequency Prompt. CoRR (2023)
Xiangyang Zhu, Renrui Zhang, Bowei He, Ziyu Guo, Ziyao Zeng, Zipeng Qin, Shanghang Zhang, Peng Gao
PointCLIP V2: Prompting CLIP and GPT for Powerful 3D Open-world Learning. ICCV (2023)
Shiji Zhou, Zhi Wang, Chenghao Hu, Yinan Mao, Haopeng Yan, Shanghang Zhang, Chuan Wu, Wenwu Zhu
Caching in Dynamic Environments: A Near-Optimal Online Learning Approach. IEEE Trans. Multim. 25 (2023)
Senqiao Yang, Jiarui Wu, Jiaming Liu, Xiaoqi Li, Qizhe Zhang, Mingjie Pan, Mingjie Pan, Shanghang Zhang
Exploring Sparse Visual Prompt for Cross-domain Semantic Segmentation. CoRR (2023)
Jiaming Liu, Senqiao Yang, Peidong Jia, Ming Lu, Yandong Guo, Wei Xue, Shanghang Zhang
ViDA: Homeostatic Visual Domain Adapter for Continual Test Time Adaptation. CoRR (2023)
Yuheng Lu, Chenfeng Xu, Xiaobao Wei, Xiaodong Xie, Masayoshi Tomizuka, Kurt Keutzer, Shanghang Zhang
Open-Vocabulary Point-Cloud Object Detection without 3D Annotation. CoRR (2023)
Kenuo Xu, Kexing Zhou, Chengxuan Zhu, Shanghang Zhang, Boxin Shi, Xiaoqiang Li, Tiejun Huang, Chenren Xu
When Visible Light (Backscatter) Communication Meets Neuromorphic Cameras in V2X. HotMobile (2023)
Qiang Zhou, Weize Li, Lihan Jiang, Guoliang Wang, Guyue Zhou, Shanghang Zhang, Hao Zhao
PAD: A Dataset and Benchmark for Pose-agnostic Anomaly Detection. CoRR (2023)
Xiaowei Chi, Jiaming Liu, Ming Lu, Rongyu Zhang, Zhaoqing Wang, Yandong Guo, Shanghang Zhang
BEV-SAN: Accurate BEV 3D Object Detection via Slice Attention Networks. CVPR (2023)
Tianqi Liu, Shanghang Zhang, Yanjun Qin, Xiaoming Tao
A Text Prompt-Based Approach for Zero-Shot Corner Case Object Detection in Autonomous Driving. ITSC (2023)
Guanqun Wang, He Chen, Liang Chen, Yin Zhuang, Shanghang Zhang, Tong Zhang, Hao Dong, Peng Gao
P2FEViT: Plug-and-Play CNN Feature Embedded Hybrid Vision Transformer for Remote Sensing Image Classification. Remote. Sens. 15 (7) (2023)
Xiuyu Li, Yijiang Liu, Long Lian, Huanrui Yang, Zhen Dong, Daniel Kang, Shanghang Zhang, Kurt Keutzer
Q-Diffusion: Quantizing Diffusion Models. ICCV (2023)
Jiayi Ni, Senqiao Yang, Jiaming Liu, Xiaoqi Li, Wenyu Jiao, Ran Xu, Zehui Chen, Yi Liu, Shanghang Zhang
Distribution-Aware Continual Test Time Adaptation for Semantic Segmentation. CoRR (2023)
Mingjie Pan, Jiaming Liu, Renrui Zhang, Peixiang Huang, Xiaoqi Li, Li Liu, Shanghang Zhang
RenderOcc: Vision-Centric 3D Occupancy Prediction with 2D Rendering Supervision. CoRR (2023)
Guanqun Wang, Jiaming Liu, Chenxuan Li, Junpeng Ma, Yuan Zhang, Xinyu Wei, Kevin Zhang, Maurice Chong, Ray Zhang, Yijiang Liu, Shanghang Zhang
Cloud-Device Collaborative Learning for Multimodal Large Language Models. CoRR (2023)
Lirui Xiao, Huanrui Yang, Zhen Dong, Kurt Keutzer, Li Du, Shanghang Zhang
CSQ: Growing Mixed-Precision Quantization Scheme with Bi-level Continuous Sparsification. DAC (2023)
Xingqun Qi, Jiahao Pan, Peng Li, Ruibin Yuan, Xiaowei Chi, Mengfei Li, Wenhan Luo, Wei Xue, Shanghang Zhang, Qifeng Liu, Yike Guo
Weakly-Supervised Emotion Transition Learning for Diverse 3D Co-speech Gesture Generation. CoRR (2023)
Peidong Jia, Chenxuan Li, Zeyu Liu, Yichao Shen, Xingru Chen, Yuhui Yuan, Yinglin Zheng, Dong Chen, Ji Li, Xiaodong Xie, Shanghang Zhang, Baining Guo
COLE: A Hierarchical Generation Framework for Graphic Design. CoRR (2023)
Zihan Qiu, Zhen Liu, Shuicheng Yan, Shanghang Zhang, Jie Fu
Heterogenous Memory Augmented Neural Networks. CoRR (2023)
Mingjie Pan, Li Liu, Jiaming Liu, Peixiang Huang, Longlong Wang, Shanghang Zhang, Shaoqing Xu, Zhiyi Lai, Kuiyuan Yang
UniOcc: Unifying Vision-Centric 3D Occupancy Prediction with Geometric and Semantic Rendering. CoRR (2023)
Yijia Zhang, Lingran Zhao, Shijie Cao, Wenqiang Wang, Ting Cao, Fan Yang, Mao Yang, Shanghang Zhang, Ningyi Xu
Integer or Floating Point? New Outlooks for Low-Bit Quantization on Large Language Models. CoRR (2023)
Yuheng Lu, Chenfeng Xu, Xiaobao Wei, Xiaodong Xie, Masayoshi Tomizuka, Kurt Keutzer, Shanghang Zhang
Open-Vocabulary Point-Cloud Object Detection without 3D Annotation. CVPR (2023)
Zhi Zhang, Qizhe Zhang, Zijun Gao, Renrui Zhang, Ekaterina Shutova, Shiji Zhou, Shanghang Zhang
Gradient-based Parameter Selection for Efficient Fine-Tuning. CoRR (2023)
Xiuyu Li, Long Lian, Yijiang Liu, Huanrui Yang, Zhen Dong, Daniel Kang, Shanghang Zhang, Kurt Keutzer
Q-Diffusion: Quantizing Diffusion Models. CoRR (2023)
Xiaowei Chi, Yijiang Liu, Zhengkai Jiang, Rongyu Zhang, Ziyi Lin, Renrui Zhang, Peng Gao, Chaoyou Fu, Shanghang Zhang, Qifeng Liu, Yike Guo
ChatIllusion: Efficient-Aligning Interleaved Generation ability with Visual Instruction Model. CoRR (2023)
Yifan Zhang, Zhen Dong, Huanrui Yang, Ming Lu, Cheng-Ching Tseng, Yuan Du, Kurt Keutzer, Li Du, Shanghang Zhang
QD-BEV : Quantization-aware View-guided Distillation for Multi-view 3D Object Detection. CoRR (2023)
Yulu Gan, Mingjie Pan, Rongyu Zhang, Zijian Ling, Lingran Zhao, Jiaming Liu, Shanghang Zhang
Cloud-Device Collaborative Adaptation to Continual Changing Environments in the Real-World. CVPR (2023)
Rongyu Zhang, Lixuan Du, Jiaming Liu, Congcong Song, Fangxin Wang, Xiaoqi Li, Ming Lu, Yandong Guo, Shanghang Zhang
RepCaM: Re-parameterization Content-aware Modulation for Neural Video Delivery. NOSSDAV (2023)
Peidong Jia, Jiaming Liu, Senqiao Yang, Jiarui Wu, Xiaodong Xie, Shanghang Zhang
PM-DETR: Domain Adaptive Prompt Memory for Object Detection with Transformers. CoRR (2023)
Anthony Chen, Kevin Zhang, Renrui Zhang, Zihan Wang, Yuheng Lu, Yandong Guo, Shanghang Zhang
PiMAE: Point Cloud and Image Interactive Masked Autoencoders for 3D Object Detection. CVPR (2023)
Xiaobao Wei, Jiajun Cao, Yizhu Jin, Ming Lu, Guangyu Wang, Shanghang Zhang
I-MedSAM: Implicit Medical Image Segmentation with Segment Anything. CoRR (2023)
Yuqing Ma, Hainan Li, Zhange Zhang, Jinyang Guo, Shanghang Zhang, Ruihao Gong, Xianglong Liu
Annealing-based Label-Transfer Learning for Open World Object Detection. CVPR (2023)
Nan Huang, Ting Zhang, Yuhui Yuan, Dong Chen, Shanghang Zhang
Customize-It-3D: High-Quality 3D Creation from A Single Image Using Subject-Specific Knowledge Prior. CoRR (2023)

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Publication Activity (10 Years)

Top Topics

Top Venues

Shanghang Zhang