Xinghao Chen

According to our database, Xinghao Chen authored at least 96 papers between 2016 and 2026.

Collaborative distances:

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

2026

Thinking-while-speaking: A Controlled, Interleaved Reasoning Method for Real-Time Speech Generation.

Xuan Du, Qiangyu Yan, Wenshuo Li, Borui Jiang, Changming Xiao, Han Shu, Xinghao Chen

CoRR, May, 2026

ElasticDiT: Efficient Diffusion Transformers via Elastic Architecture and Sparse Attention for High-Resolution Image Generation on Mobile Devices.

Kunpeng Du, Haizhen Xie, Sen Lu, Lei Yu, Binglei Bao, Huaao Tang, Chuntao Liu, Hao Wu, Yang Zhao, Zhicai Huang, Heyuan Gao, Zhijun Tu, Jie Hu, Xinghao Chen

CoRR, May, 2026

Near-Policy: Accelerating On-Policy Distillation via Asynchronous Generation and Selective Packing.

Miao Rang, Zhenni Bi, Hang Zhou, Kai Han, Xuechun Wang, An Xiao, Xinghao Chen, Yunhe Wang, Hanting Chen

CoRR, May, 2026

Allo{SR}²: Rectifying One-Step Super-Resolution to Stay Real via Allomorphic Generative Flows.

Zihan Wang, Xudong Huang, Junbo Qiao, Wei Li, Jie Hu, Xinghao Chen, Shaohui Lin

CoRR, April, 2026

SJD-PAC: Accelerating Speculative Jacobi Decoding via Proactive Drafting and Adaptive Continuation.

Jialiang Kang, Han Shu, Wenshuo Li, Yingjie Zhai, Xinghao Chen

CoRR, March, 2026

An Empirical Study of World Model Quantization.

Zhongqian Fu, Tianyi Zhao, Kai Han, Hang Zhou, Xinghao Chen, Yunhe Wang

CoRR, February, 2026

GenVidBench: A 6-Million Benchmark for AI-Generated Video Detection.

Zhenliang Ni, Qiangyu Yan, Mouxiao Huang, Tianning Yuan, Yehui Tang, Hailin Hu, Xinghao Chen, Yunhe Wang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

From Sequential to Spatial: Reordering Autoregression for Efficient Visual Generation.

Siyang Wang, Hanting Li, Wei Li, Jie Hu, Xinghao Chen, Feng Zhao

CoRR, December, 2025

VersatileFFN: Achieving Parameter Efficiency in LLMs via Adaptive Wide-and-Deep Reuse.

Ying Nie, Kai Han, Hongguang Li, Hang Zhou, Tianyu Guo, Enhua Wu, Xinghao Chen, Yunhe Wang

CoRR, December, 2025

Towards Lossless Ultimate Vision Token Compression for VLMs.

Dehua Zheng, Mouxiao Huang, Borui Jiang, Hailin Hu, Xinghao Chen

CoRR, December, 2025

From Next-Token to Next-Block: A Principled Adaptation Path for Diffusion LLMs.

Yuchuan Tian, Yuchen Liang, Jiacheng Sun, Shuo Zhang, Guangwen Yang, Yingte Shu, Sibo Fang, Tianyu Guo, Kai Han, Chao Xu, Hanting Chen, Xinghao Chen, Yunhe Wang

CoRR, December, 2025

Nexus: Higher-Order Attention Mechanisms in Transformers.

Hanting Chen, Chong Zhu, Kai Han, Yuchuan Tian, Yuchen Liang, Tianyu Guo, Xinghao Chen, Dacheng Tao, Yunhe Wang

CoRR, December, 2025

VLM-Pruner: Buffering for Spatial Sparsity in an Efficient VLM Centrifugal Token Pruning Paradigm.

Zhenkai Wu, Xiaowen Ma, Zhenliang Ni, Dengming Zhang, Han Shu, Xin Jiang, Xinghao Chen

CoRR, December, 2025

Ada-MoGE: Adaptive Mixture of Gaussian Expert Model for Time Series Forecasting.

Zhenliang Ni, Xiaowen Ma, Zhenkai Wu, Shuai Xiao, Han Shu, Xinghao Chen

CoRR, December, 2025

ROOT: Robust Orthogonalized Optimizer for Neural Network Training.

Wei He, Kai Han, Hang Zhou, Hanting Chen, Zhicheng Liu, Xinghao Chen, Yunhe Wang

CoRR, November, 2025

Positional Preservation Embedding for Multimodal Large Language Models.

Mouxiao Huang, Borui Jiang, Dehua Zheng, Hailin Hu, Kai Han, Xinghao Chen

CoRR, October, 2025

Beyond Textual CoT: Interleaved Text-Image Chains with Deep Confidence Reasoning for Image Editing.

Zhentao Zou, Zhengrong Yue, Kunpeng Du, Binlei Bao, Hanting Li, Haizhen Xie, Guozheng Xu, Yue Zhou, Yali Wang, Jie Hu, Xue Jiang, Xinghao Chen

CoRR, October, 2025

Revealing the Power of Post-Training for Small Language Models via Knowledge Distillation.

Miao Rang, Zhenni Bi, Hang Zhou, Hanting Chen, An Xiao, Tianyu Guo, Kai Han, Xinghao Chen, Yunhe Wang

CoRR, September, 2025

Expert Merging: Model Merging with Unsupervised Expert Alignment and Importance-Guided Layer Chunking.

Dengming Zhang, Xiaowen Ma, Zhenliang Ni, Zhenkai Wu, Han Shu, Xin Jiang, Xinghao Chen

CoRR, September, 2025

RDDM: Practicing RAW Domain Diffusion Model for Real-world Image Restoration.

Yan Chen, Yi Wen, Wei Li, Junchao Liu, Yong Guo, Jie Hu, Xinghao Chen

CoRR, August, 2025

OmniEval: A Benchmark for Evaluating Omni-modal Models with Visual, Auditory, and Textual Inputs.

Yiman Zhang, Ziheng Luo, Qiangyu Yan, Wei He, Borui Jiang, Xinghao Chen, Kai Han

CoRR, June, 2025

RealSR-R1: Reinforcement Learning for Real-World Image Super-Resolution with Vision-Language Chain-of-Thought.

Junbo Qiao, Miaomiao Cai, Wei Li, Yutong Liu, Xudong Huang, Gaoqi He, Jiao Xie, Jie Hu, Xinghao Chen, Shaohui Lin

CoRR, June, 2025

EAQuant: Enhancing Post-Training Quantization for MoE Models via Expert-Aware Optimization.

Zhongqian Fu, Ning Ding, Kai Han, Xianzhi Yu, Xiaosong Li, Xinghao Chen, Yehui Tang, Yunhe Wang

CoRR, June, 2025

Pangu Embedded: An Efficient Dual-system LLM Reasoner with Metacognition.

Hanting Chen, Yasheng Wang, Kai Han, Dong Li, Lin Li, Zhenni Bi, Jinpeng Li, Haoyu Wang, Fei Mi, Mingjian Zhu, Bin Wang, Kaikai Song, Yifei Fu, Xu He, Yu Luo, Chong Zhu, Quan He, Xueyu Wu, Wei He, Hailin Hu, Yehui Tang, Dacheng Tao, Xinghao Chen, Yunhe Wang

CoRR, May, 2025

Pangu Pro MoE: Mixture of Grouped Experts for Efficient Sparsity.

Yehui Tang, Xiaosong Li, Fangcheng Liu, Wei Guo, Hang Zhou, Yaoyuan Wang, Kai Han, Xianzhi Yu, Jinpeng Li, Hui Zang, Fei Mi, Xiaojun Meng, Zhicheng Liu, Hanting Chen, Binfan Zheng, Can Chen, Youliang Yan, Ruiming Tang, Peifeng Qin, Xinghao Chen, Dacheng Tao, Yunhe Wang

CoRR, May, 2025

Pangu Light: Weight Re-Initialization for Pruning and Accelerating LLMs.

Hanting Chen, Jiarui Qin, Jialong Guo, Tao Yuan, Yichun Yin, Huiling Zhen, Yasheng Wang, Jinpeng Li, Xiaojun Meng, Meng Zhang, Rongju Ruan, Zheyuan Bai, Yehui Tang, Can Chen, Xinghao Chen, Fisher Yu, Ruiming Tang, Yunhe Wang

CoRR, May, 2025

GenVidBench: A Challenging Benchmark for Detecting AI-Generated Video.

Zhenliang Ni, Qiangyu Yan, Mouxiao Huang, Tianning Yuan, Yehui Tang, Hailin Hu, Xinghao Chen, Yunhe Wang

CoRR, January, 2025

Full-Stage Pseudo Label Quality Enhancement for Weakly-Supervised Temporal Action Localization.

Qianhan Feng, Wenshuo Li, Tong Lin, Xinghao Chen

IEEE Trans. Circuits Syst. Video Technol., 2025

ViSpec: Accelerating Vision-Language Models with Vision-Aware Speculative Decoding.

Jialiang Kang, Han Shu, Wenshuo Li, Yingjie Zhai, Xinghao Chen

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

TimePro: Efficient Multivariate Long-term Time Series Forecasting with Variable- and Time-Aware Hyper-state.

Xiaowen Ma, Zhen-Liang Ni, Shuai Xiao, Xinghao Chen

Proceedings of the Forty-second International Conference on Machine Learning, 2025

SlimLLM: Accurate Structured Pruning for Large Language Models.

Jialong Guo, Xinghao Chen, Yehui Tang, Yunhe Wang

Proceedings of the Forty-second International Conference on Machine Learning, 2025

DECO: Unleashing the Potential of ConvNets for Query-based Detection and Segmentation.

Xinghao Chen, Siwei Li, Yijing Yang, Yunhe Wang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

TinyViM: Frequency Decoupling for Tiny Hybrid Vision Mamba.

Xiaowen Ma, Zhenliang Ni, Xinghao Chen

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Align-KD: Distilling Cross-Modal Alignment Knowledge for Mobile Vision-Language Large Model Enhancement.

Qianhan Feng, Wenshuo Li, Tong Lin, Xinghao Chen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Single Domain Generalization for Few-Shot Counting via Universal Representation Matching.

Xianing Chen, Si Huo, Borui Jiang, Hailin Hu, Xinghao Chen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

TinySAM: Pushing the Envelope for Efficient Segment Anything Model.

Han Shu, Wenshuo Li, Yehui Tang, Yiman Zhang, Yihao Chen, Houqiang Li, Yunhe Wang, Xinghao Chen

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Align-KD: Distilling Cross-Modal Alignment Knowledge for Mobile Vision-Language Model.

Qianhan Feng, Wenshuo Li, Tong Lin, Xinghao Chen

CoRR, 2024

No Time to Waste: Squeeze Time into Channel for Mobile Video Understanding.

Yingjie Zhai, Wenshuo Li, Yehui Tang, Xinghao Chen, Yunhe Wang

CoRR, 2024

Semantic and Spatial Adaptive Pixel-level Classifier for Semantic Segmentation.

Xiaowen Ma, Zhenliang Ni, Xinghao Chen

CoRR, 2024

SSA-Seg: Semantic and Spatial Adaptive Pixel-level Classifier for Semantic Segmentation.

Xiaowen Ma, Zhenliang Ni, Xinghao Chen

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

ExCP: Extreme LLM Checkpoint Compression via Weight-Momentum Joint Shrinking.

Wenshuo Li, Xinghao Chen, Han Shu, Yehui Tang, Yunhe Wang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

GeminiFusion: Efficient Pixel-wise Multimodal Fusion for Vision Transformer.

Ding Jia, Jianyuan Guo, Kai Han, Han Wu, Chao Zhang, Chang Xu, Xinghao Chen

Proceedings of the Forty-first International Conference on Machine Learning, 2024

SLAB: Efficient Transformers with Simplified Linear Attention and Progressive Re-parameterized Batch Normalization.

Jialong Guo, Xinghao Chen, Yehui Tang, Yunhe Wang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Context-Guided Spatial Feature Reconstruction for Efficient Semantic Segmentation.

Zhenliang Ni, Xinghao Chen, Yingjie Zhai, Yehui Tang, Yunhe Wang

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Improving Lightweight AdderNet via Distillation From ℓ₂ to ℓ₁-norm.

Minjing Dong, Xinghao Chen, Yunhe Wang, Chang Xu

IEEE Trans. Image Process., 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

DECO: Query-Based End-to-End Object Detection with ConvNets.

Xinghao Chen, Siwei Li, Yijing Yang, Yunhe Wang

CoRR, 2023

PPT: Token Pruning and Pooling for Efficient Vision Transformers.

Xin-Jian Wu, Fanhu Zeng, Xiudong Wang, Yunhe Wang, Xinghao Chen

CoRR, 2023

Less is More: Focus Attention for Efficient DETR.

Dehua Zheng, Wenhui Dong, Hailin Hu, Xinghao Chen, Yunhe Wang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

BiMLP: Compact Binary Architectures for Vision Multi-Layer Perceptrons.

Yixing Xu, Xinghao Chen, Yunhe Wang

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

Random Normalization Aggregation for Adversarial Defense.

Minjing Dong, Xinghao Chen, Yunhe Wang, Chang Xu

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

Spatial-Channel Token Distillation for Vision MLPs.

Yanxi Li, Xinghao Chen, Minjing Dong, Yehui Tang, Yunhe Wang, Chang Xu

Proceedings of the International Conference on Machine Learning, 2022

MaskGroup: Hierarchical Point Grouping and Masking for 3D Instance Segmentation.

Min Zhong, Xinghao Chen, Xiaokang Chen, Gang Zeng, Yunhe Wang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

MTP: Multi-Task Pruning for Efficient Semantic Segmentation Networks.

Xinghao Chen, Yiman Zhang, Yunhe Wang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

AdaBin: Improving Binary Neural Networks with Adaptive Binary Sets.

Zhijun Tu, Xinghao Chen, Pengju Ren, Yunhe Wang

Proceedings of the Computer Vision - ECCV 2022, 2022

Searching for Energy-Efficient Hybrid Adder-Convolution Neural Networks.

Wenshuo Li, Xinghao Chen, Jinyu Bai, Xuefei Ning, Yunhe Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Hire-MLP: Vision MLP via Hierarchical Rearrangement.

Jianyuan Guo, Yehui Tang, Kai Han, Xinghao Chen, Han Wu, Chao Xu, Chang Xu, Yunhe Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

CMT: Convolutional Neural Networks Meet Vision Transformers.

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

AutoLoss-GMS: Searching Generalized Margin-based Softmax Loss Function for Person Re-identification.

Hongyang Gu, Jianmin Li, Guangyuan Fu, Chifong Wong, Xinghao Chen, Jun Zhu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Multimodal Token Fusion for Vision Transformers.

Yikai Wang, Xinghao Chen, Lele Cao, Wenbing Huang, Fuchun Sun, Yunhe Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Handling Long-tailed Feature Distribution in AdderNets.

Minjing Dong, Yunhe Wang, Xinghao Chen, Chang Xu

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

Towards Stable and Robust AdderNets.

Minjing Dong, Yunhe Wang, Xinghao Chen, Chang Xu

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

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

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

2020

Bi-Stream Pose-Guided Region Ensemble Network for Fingertip Localization From Stereo Images.

Guijin Wang, Cairong Zhang, Xinghao Chen, Xiangyang Ji, Jing-Hao Xue, Hang Wang

IEEE Trans. Neural Networks Learn. Syst., 2020

Pose guided structured region ensemble network for cascaded hand pose estimation.

Xinghao Chen, Guijin Wang, Hengkai Guo, Cairong Zhang

Neurocomputing, 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

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

Weakly Supervised Segmentation Guided Hand Pose Estimation During Interaction with Unknown Objects.

Cairong Zhang, Guijin Wang, Xinghao Chen, Pengwei Xie, Toshihiko Yamasaki

Proceedings of the 2020 IEEE International Conference on Acoustics, 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

Hit-Detector: Hierarchical Trinity Architecture Search for Object Detection.

Jianyuan Guo, Kai Han, Yunhe Wang, Chao Zhang, Zhaohui Yang, Han Wu, Xinghao Chen, Chang Xu

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

2019

MFA-Net: Motion Feature Augmented Network for Dynamic Hand Gesture Recognition from Skeletal Data.

Xinghao Chen, Guijin Wang, Hengkai Guo, Cairong Zhang, Hang Wang, Li Zhang

Sensors, 2019

Blurring-Effect-Free CNN Network of Structural Edge for Focus Stacking.

Guijin Wang, Wentao Li, Xinghao Chen, Xuanwu Yin, Xiaowei Hu, Chenbo Shi, Long Meng

IEEE Access, 2019

Blurring-Effect-Free CNN for Optimization of Structural Edges in Focus Stacking.

Wentao Li, Guijin Wang, Xinghao Chen, Xuanwu Yin, Xiaowei Hu

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2018

Region ensemble network: Towards good practices for deep 3D hand pose estimation.

Guijin Wang, Xinghao Chen, Hengkai Guo, Cairong Zhang

J. Vis. Commun. Image Represent., 2018

SHPR-Net: Deep Semantic Hand Pose Regression From Point Clouds.

Xinghao Chen, Guijin Wang, Cairong Zhang, Tae-Kyun Kim, Xiangyang Ji

IEEE Access, 2018

Interactive Hand Pose Estimation: Boosting accuracy in localizing extended finger joints.

Cairong Zhang, Guijin Wang, Hengkai Guo, Xinghao Chen, Fei Qiao, Huazhong Yang

Proceedings of the Visual Information Processing and Communication IX, Burlingame, CA, USA, 28 January 2018, 2018

Spatial-Temporal Attention Res-TCN for Skeleton-Based Dynamic Hand Gesture Recognition.

Jingxuan Hou, Guijin Wang, Xinghao Chen, Jing-Hao Xue, Rui Zhu, Huazhong Yang

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Depth-Based 3D Hand Pose Estimation: From Current Achievements to Future Goals.

Shanxin Yuan, Guillermo Garcia-Hernando, Björn Stenger, Gyeongsik Moon, Ju Yong Chang, Kyoung Mu Lee, Pavlo Molchanov, Jan Kautz, Sina Honari, Liuhao Ge, Junsong Yuan, Xinghao Chen, Guijin Wang, Fan Yang, Kai Akiyama, Yang Wu, Qingfu Wan, Meysam Madadi, Sergio Escalera, Shile Li, Dongheui Lee, Iason Oikonomidis, Antonis A. Argyros, Tae-Kyun Kim

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Bi-stream Region Ensemble Network: Promoting Accuracy in Fingertip Localization from Stereo Images.

Cairong Zhang, Guijin Wang, Xinghao Chen, Huazhong Yang

Proceedings of the British Machine Vision Conference 2018, 2018

2017

3D Hand Pose Estimation: From Current Achievements to Future Goals.

Shanxin Yuan, Guillermo Garcia-Hernando, Björn Stenger, Gyeongsik Moon, Ju Yong Chang, Kyoung Mu Lee, Pavlo Molchanov, Jan Kautz, Sina Honari, Liuhao Ge, Junsong Yuan, Xinghao Chen, Guijin Wang, Fan Yang, Kai Akiyama, Yang Wu, Qingfu Wan, Meysam Madadi, Sergio Escalera, Shile Li, Dongheui Lee, Iason Oikonomidis, Antonis A. Argyros, Tae-Kyun Kim

CoRR, 2017

Towards Good Practices for Deep 3D Hand Pose Estimation.

Hengkai Guo, Guijin Wang, Xinghao Chen, Cairong Zhang

CoRR, 2017

Two-stream binocular network: Accurate near field finger detection based on binocular images.

Yi Wei, Guijin Wang, Cairong Zhang, Hengkai Guo, Xinghao Chen, Huazhong Yang

Proceedings of the 2017 IEEE Visual Communications and Image Processing, 2017

Region ensemble network: Improving convolutional network for hand pose estimation.

Hengkai Guo, Guijin Wang, Xinghao Chen, Cairong Zhang, Fei Qiao, Huazhong Yang

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Motion feature augmented recurrent neural network for skeleton-based dynamic hand gesture recognition.

Xinghao Chen, Hengkai Guo, Guijin Wang, Li Zhang

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

2016

Two-stream convolutional neural network for accurate RGB-D fingertip detection using depth and edge information.

Hengkai Guo, Guijin Wang, Xinghao Chen

CoRR, 2016

Accurate fingertip detection from binocular mask images.

Xinghao Chen, Guijin Wang, Hengkai Guo

Proceedings of the 2016 Visual Communications and Image Processing, 2016

Static hand gesture recognition based on finger root-center-angle and length weighted Mahalanobis distance.

Xinghao Chen, Chenbo Shi, Bo Liu

Proceedings of the Real-Time Image and Video Processing 2016, 2016