Lap-Pui Chau

ORCID

Publication Activity (10 Years)

Years Active: 1994-2024
Publications (10 Years): 114

Top Venues

CoRR

ISCAS

IEEE Trans. Circuits Syst. Video Technol.

DSP

Publications

Xiaoqi Wang, Yi Wang, Lap-Pui Chau
Symmetric Multi-Similarity Loss for EPIC-KITCHENS-100 Multi-Instance Retrieval Challenge 2024. CoRR (2024)
Shiyu Meng, Yi Wang, Lap-Pui Chau
Depth-powered Moving-obstacle Segmentation Under Bird-eye-view for Autonomous Driving. ISCAS (2024)
Shufeng Song, Lap-Pui Chau, Zhiping Lin
Portrait matting using an attention-based memory network. Vis. Comput. 40 (5) (2024)
Yi Wang, Wenyang Liu, Kejun Wu, Kim-Hui Yap, Lap-Pui Chau
Intra- and inter-sector contextual information fusion with joint self-attention for file fragment classification. Knowl. Based Syst. 291 (2024)
Yuejiao Su, Yi Wang, Lap-Pui Chau
ORMNet: Object-centric Relationship Modeling for Egocentric Hand-object Segmentation. CoRR (2024)
Huiping Zhuang, Yuchen Liu, Run He, Kai Tong, Ziqian Zeng, Cen Chen, Yi Wang, Lap-Pui Chau
AOCIL: Exemplar-free Analytic Online Class Incremental Learning with Low Time and Resource Consumption. CoRR (2024)
Lei Yao, Yi Wang, Moyun Liu, Lap-Pui Chau
SGIFormer: Semantic-guided and Geometric-enhanced Interleaving Transformer for 3D Instance Segmentation. CoRR (2024)
Andrea Piazzoni, Jim Cherian, Justin Dauwels, Lap-Pui Chau
PEM: Perception Error Model for Virtual Testing of Autonomous Vehicles. IEEE Trans. Intell. Transp. Syst. 25 (1) (2024)
Yi Wang, Qiongyang Hu, Lap-Pui Chau
Weakly-Supervised Crowd Counting with Token Attention and Fusion: A Simple and Effective Baseline. ICASSP (2024)
Haihan Tang, Yi Wang, Zhiping Lin, Lap-Pui Chau, Huiping Zhuang
A three-stream fusion and self-differential attention network for multi-modal crowd counting. Pattern Recognit. Lett. 183 (2024)
Yuejiao Su, Yi Wang, Lei Yao, Lap-Pui Chau
Few-shot Class-agnostic Counting with Occlusion Augmentation and Localization. ISCAS (2024)
Huaiyuan Xu, Junliang Chen, Shiyu Meng, Yi Wang, Lap-Pui Chau
A Survey on Occupancy Perception for Autonomous Driving: The Information Fusion Perspective. CoRR (2024)
Wenyang Liu, Yi Wang, Kejun Wu, Kim-Hui Yap, Lap-Pui Chau
A Byte Sequence is Worth an Image: CNN for File Fragment Classification Using Bit Shift and n-Gram Embeddings. AICAS (2023)
Yufei Wang, Yi Yu, Wenhan Yang, Lanqing Guo, Lap-Pui Chau, Alex C. Kot, Bihan Wen
Raw Image Reconstruction with Learned Compact Metadata. CVPR (2023)
Wenyang Liu, Yi Wang, Kejun Wu, Kim-Hui Yap, Lap-Pui Chau
A Byte Sequence is Worth an Image: CNN for File Fragment Classification Using Bit Shift and n-Gram Embeddings. CoRR (2023)
Yufei Wang, Wenhan Yang, Xinyuan Chen, Yaohui Wang, Lanqing Guo, Lap-Pui Chau, Ziwei Liu, Yu Qiao, Alex C. Kot, Bihan Wen
SinSR: Diffusion-Based Image Super-Resolution in a Single Step. CoRR (2023)
Wenyang Liu, Yi Wang, Kim-Hui Yap, Lap-Pui Chau
Bitstream-Corrupted JPEG Images are Restorable: Two-stage Compensation and Alignment Framework for Image Restoration. CVPR (2023)
Shaohui Mei, Jiawei Lian, Xiaofei Wang, Yuru Su, Mingyang Ma, Lap-Pui Chau
A Comprehensive Study on the Robustness of Image Classification and Object Detection in Remote Sensing: Surveying and Benchmarking. CoRR (2023)
Yufei Wang, Yi Yu, Wenhan Yang, Lanqing Guo, Lap-Pui Chau, Alex C. Kot, Bihan Wen
ExposureDiffusion: Learning to Expose for Low-light Image Enhancement. CoRR (2023)
Yufei Wang, Yi Yu, Wenhan Yang, Lanqing Guo, Lap-Pui Chau, Alex C. Kot, Bihan Wen
ExposureDiffusion: Learning to Expose for Low-light Image Enhancement. ICCV (2023)
Tianyi Liu, Kejun Wu, Yi Wang, Wenyang Liu, Kim-Hui Yap, Lap-Pui Chau
Bitstream-Corrupted Video Recovery: A Novel Benchmark Dataset and Method. CoRR (2023)
Junhao Zhang, Kim-Hui Yap, Lap-Pui Chau, Ce Zhu
Nonlocal Low-Rank Residual Modeling for Image Compressive Sensing Reconstruction. ICIP (2023)
Andrea Piazzoni, Jim Cherian, Justin Dauwels, Lap-Pui Chau
On the Simulation of Perception Errors in Autonomous Vehicles. CoRR (2023)
Zhengyu Li, Heng Guo, Lap-Pui Chau, Cheen-Hau Tan, Xiaoxi Ma, Dan Lin, Kim-Hui Yap
Object-Augmented Skeleton-Based Action Recognition. AICAS (2023)
Kejun Wu, Yi Wang, Wenyang Liu, Kim-Hui Yap, Lap-Pui Chau
A Spatial-Focal Error Concealment Scheme for Corrupted Focal Stack Video. DCC (2023)
Yufei Wang, Renjie Wan, Wenhan Yang, Bihan Wen, Lap-Pui Chau, Alex C. Kot
Removing Image Artifacts From Scratched Lens Protectors. CoRR (2023)
Wenyang Liu, Yi Wang, Kim-Hui Yap, Lap-Pui Chau
Bitstream-Corrupted JPEG Images are Restorable: Two-stage Compensation and Alignment Framework for Image Restoration. CoRR (2023)
Tianyi Liu, Kejun Wu, Yi Wang, Wenyang Liu, Kim-Hui Yap, Lap-Pui Chau
Bitstream-Corrupted Video Recovery: A Novel Benchmark Dataset and Method. NeurIPS (2023)
Yi Wang, Kejun Wu, Wenyang Liu, Kim-Hui Yap, Lap-Pui Chau
Image Representation and Deep Inception-Attention for File-type and Malware Classification. ISCAS (2023)
Zhiyuan Yang, Lap-Pui Chau, Bihan Wen
No Matter Small or Big Lip Motion: DeepFake Detection with Regularized Feature Learning on Semantic Information. MIPR (2023)
Yufei Wang, Renjie Wan, Wenhan Yang, Bihan Wen, Lap-Pui Chau, Alex C. Kot
Removing Image Artifacts From Scratched Lens Protectors. ISCAS (2023)
Yunhao Zhou, Yi Wang, Lap-Pui Chau
Moving Towards Centers: Re-Ranking With Attention and Memory for Re-Identification. IEEE Trans. Multim. 25 (2023)
Yufei Wang, Yi Yu, Wenhan Yang, Lanqing Guo, Lap-Pui Chau, Alex C. Kot, Bihan Wen
Raw Image Reconstruction with Learned Compact Metadata. CoRR (2023)
Yufei Wang, Yi Yu, Wenhan Yang, Lanqing Guo, Lap-Pui Chau, Alex C. Kot, Bihan Wen
Beyond Learned Metadata-based Raw Image Reconstruction. CoRR (2023)
Andrea Piazzoni, Jim Cherian, Roshan Vijay, Lap-Pui Chau, Justin Dauwels
CoPEM: Cooperative Perception Error Models for Autonomous Driving. ITSC (2022)
Andrea Piazzoni, Jim Cherian, Roshan Vijay, Lap-Pui Chau, Justin Dauwels
CoPEM: Cooperative Perception Error Models for Autonomous Driving. CoRR (2022)
Yufei Wang, Haoliang Li, Hao Cheng, Bihan Wen, Lap-Pui Chau, Alex C. Kot
Variational Disentanglement for Domain Generalization. Trans. Mach. Learn. Res. 2022 (2022)
Haihan Tang, Yi Wang, Lap-Pui Chau
TAFNet: A Three-Stream Adaptive Fusion Network for RGB-T Crowd Counting. ISCAS (2022)
Yufei Wang, Renjie Wan, Wenhan Yang, Haoliang Li, Lap-Pui Chau, Alex C. Kot
Low-Light Image Enhancement with Normalizing Flow. AAAI (2022)
Jie Chen, Zaifeng Yang, Tsz Nam Chan, Hui Li, Junhui Hou, Lap-Pui Chau
Attention-Guided Progressive Neural Texture Fusion for High Dynamic Range Image Restoration. IEEE Trans. Image Process. 31 (2022)
Haihan Tang, Yi Wang, Lap-Pui Chau
TAFNet: A Three-Stream Adaptive Fusion Network for RGB-T Crowd Counting. CoRR (2022)
Mantang Guo, Junhui Hou, Jing Jin, Jie Chen, Lap-Pui Chau
Deep Spatial-Angular Regularization for Light Field Imaging, Denoising, and Super-Resolution. IEEE Trans. Pattern Anal. Mach. Intell. 44 (10) (2022)
Yi Wang, Zhen-Peng Bian, Yunhao Zhou, Lap-Pui Chau
Rethinking and Designing a High-Performing Automatic License Plate Recognition Approach. IEEE Trans. Intell. Transp. Syst. 23 (7) (2022)
Lisha Tang, Yi Wang, Lap-Pui Chau
Weakly-Supervised Part-Attention and Mentored Networks for Vehicle Re-Identification. IEEE Trans. Circuits Syst. Video Technol. 32 (12) (2022)
Haoyuan Zhang, Lap-Pui Chau, Danwei Wang
Soft Warping Based Unsupervised Domain Adaptation for Stereo Matching. IEEE Trans. Multim. 24 (2022)
Yufei Wang, Haoliang Li, Lap-Pui Chau, Alex C. Kot
Embracing the Dark Knowledge: Domain Generalization Using Regularized Knowledge Distillation. CoRR (2021)
Nanyang Yang, Yi Wang, Lap-Pui Chau
Multi-Object Tracking with Tracked Object Bounding Box Association. ICME Workshops (2021)
Lisha Tang, Yi Wang, Lap-Pui Chau
Looking Twice for Partial Clues: Weakly-supervised Part-Mentored Attention Network for Vehicle Re-Identification. CoRR (2021)
Yi Wang, Zhen-Peng Bian, Junhui Hou, Lap-Pui Chau
Convolutional Neural Networks With Dynamic Regularization. IEEE Trans. Neural Networks Learn. Syst. 32 (5) (2021)
Alexander Matyasko, Lap-Pui Chau
PDPGD: Primal-Dual Proximal Gradient Descent Adversarial Attack. CoRR (2021)
Yunhao Zhou, Yi Wang, Lap-Pui Chau
Moving Towards Centers: Re-ranking with Attention and Memory for Re-identification. CoRR (2021)
Yi Wang, Junhui Hou, Xinyu Hou, Lap-Pui Chau
A Self-Training Approach for Point-Supervised Object Detection and Counting in Crowds. IEEE Trans. Image Process. 30 (2021)
Yufei Wang, Renjie Wan, Wenhan Yang, Haoliang Li, Lap-Pui Chau, Alex C. Kot
Low-Light Image Enhancement with Normalizing Flow. CoRR (2021)
Yufei Wang, Haoliang Li, Lap-Pui Chau, Alex C. Kot
Variational Disentanglement for Domain Generalization. CoRR (2021)
Yi Wang, Xinyu Hou, Lap-Pui Chau
Dense Point Prediction: A Simple Baseline for Crowd Counting and Localization. ICME Workshops (2021)
Jie Chen, Zaifeng Yang, Tsz Nam Chan, Hui Li, Junhui Hou, Lap-Pui Chau
Attention-Guided Progressive Neural Texture Fusion for High Dynamic Range Image Restoration. CoRR (2021)
Nanyang Yang, Yi Wang, Lap-Pui Chau
Multi-object Tracking with Tracked Object Bounding Box Association. CoRR (2021)
Yufei Wang, Haoliang Li, Lap-Pui Chau, Alex C. Kot
Embracing the Dark Knowledge: Domain Generalization Using Regularized Knowledge Distillation. ACM Multimedia (2021)
Yi Wang, Xinyu Hou, Lap-Pui Chau
Dense Point Prediction: A Simple Baseline for Crowd Counting and Localization. CoRR (2021)
Jie Chen, Lap-Pui Chau, Junhui Hou
Surface Consistent Light Field Extrapolation Over Stratified Disparity And Spatial Granularities. ICME (2020)
Haoyuan Zhang, Lap-Pui Chau, Danwei Wang
RSAN: A Retinex based Self Adaptive Stereo Matching Network for Day and Night Scenes. ICARCV (2020)
Yi Wang, Zhen-Peng Bian, Yunhao Zhou, Lap-Pui Chau
Rethinking and Designing a High-performing Automatic License Plate Recognition Approach. CoRR (2020)
Jie Chen, Cheen-Hau Tan, Lap-Pui Chau
Haze Removal with Fusion of Local and Non-Local Statistics. ISCAS (2020)
Yi Wang, Junhui Hou, Xinyu Hou, Lap-Pui Chau
A Self-Training Approach for Point-Supervised Object Detection and Counting in Crowds. CoRR (2020)
Muhammet Bastan, Kim-Hui Yap, Lap-Pui Chau
Remote detection of idling cars using infrared imaging and deep networks. Neural Comput. Appl. 32 (8) (2020)
Zhiyu Zhu, Zhen-Peng Bian, Junhui Hou, Yi Wang, Lap-Pui Chau
When Residual Learning Meets Dense Aggregation: Rethinking the Aggregation of Deep Neural Networks. CoRR (2020)
Haoliang Li, Yufei Wang, Xiaofei Xie, Yang Liu, Shiqi Wang, Renjie Wan, Lap-Pui Chau, Alex C. Kot
Light Can Hack Your Face! Black-box Backdoor Attack on Face Recognition Systems. CoRR (2020)
Mantang Guo, Junhui Hou, Jing Jin, Jie Chen, Lap-Pui Chau
Deep Spatial-Angular Regularization for Compressive Light Field Reconstruction over Coded Apertures. ECCV (2) (2020)
Hui Liu, Lap-Pui Chau
Deepsea video descattering. Multim. Tools Appl. 78 (20) (2019)
Yi Wang, Junhui Hou, Lap-Pui Chau
Object Counting in Video Surveillance Using Multi-scale Density Map Regression. ICASSP (2019)
Junhui Hou, Jie Chen, Lap-Pui Chau
Light Field Image Compression Based on Bi-Level View Compensation With Rate-Distortion Optimization. IEEE Trans. Circuits Syst. Video Technol. 29 (2) (2019)
Xinyu Hou, Yi Wang, Lap-Pui Chau
Vehicle Tracking Using Deep SORT with Low Confidence Track Filtering. AVSS (2019)
Yi Wang, Zhen-Peng Bian, Junhui Hou, Lap-Pui Chau
Convolutional Neural Networks with Dynamic Regularization. CoRR (2019)
Yi Wang, Lap-Pui Chau, Xiaoxi Ma
Airtight Estimation Based on Distant Region Segmentation. ISCAS (2019)
Xiaoxi Ma, Lap-Pui Chau, Kim-Hui Yap, Guiju Ping
Convolutional Three-Stream Network Fusion for Driver Fatigue Detection from Infrared Videos. ISCAS (2019)
Jie Chen, Lap-Pui Chau, Junhui Hou
Stratified Labeling for Surface Consistent Parallax Correction and Occlusion Completion. CoRR (2019)
Abrar H. Abdulnabi, Bing Shuai, Zhen Zuo, Lap-Pui Chau, Gang Wang
Multimodal Recurrent Neural Networks With Information Transfer Layers for Indoor Scene Labeling. IEEE Trans. Multim. 20 (7) (2018)
Jie Chen, Junhui Hou, Lap-Pui Chau
Light Field Denoising via Anisotropic Parallax Analysis in a CNN Framework. IEEE Signal Process. Lett. 25 (9) (2018)
Shengyu Nan, Jie Chen, Lap-Pui Chau, Kemao Qian
Learning-Based Parallax Transfer on Multispectral Light Field. DSL (2018)
Jie Chen, Cheen-Hau Tan, Lap-Pui Chau
Haze Density Estimation via Modeling of Scattering Coefficients of Iso-depth Regions. CoRR (2018)
Jie Chen, Cheen-Hau Tan, Junhui Hou, Lap-Pui Chau, He Li
Robust Video Content Alignment and Compensation for Rain Removal in a CNN Framework. CVPR (2018)
Shaohui Mei, Junhui Hou, Jie Chen, Lap-Pui Chau, Qian Du
Simultaneous Spatial and Spectral Low-Rank Representation of Hyperspectral Images for Classification. IEEE Trans. Geosci. Remote. Sens. 56 (5) (2018)
Yun Ni, Jie Chen, Lap-Pui Chau
Reflection Removal on Single Light Field Capture Using Focus Manipulation. IEEE Trans. Computational Imaging 4 (4) (2018)
Alexander Matyasko, Lap-Pui Chau
Improved Network Robustness with Adversary Critic. NeurIPS (2018)
Abrar H. Abdulnabi, Bing Shuai, Zhen Zuo, Lap-Pui Chau, Gang Wang
Multimodal Recurrent Neural Networks with Information Transfer Layers for Indoor Scene Labeling. CoRR (2018)
Muhammet Bastan, Kim-Hui Yap, Lap-Pui Chau
Remote Detection of Idling Cars Using Infrared Imaging and Deep Networks. CoRR (2018)
Cheen-Hau Tan, Jie Chen, Yun Ni, Lap-Pui Chau, Ling Min Soh
Vision-Based Rain Gauge for Dynamic Scenes. DSL (2018)
Jie Chen, Junhui Hou, Lap-Pui Chau
Light Field Denoising via Anisotropic Parallax Analysis in a CNN Framework. CoRR (2018)
Yi Wang, Hui Liu, Lap-Pui Chau
Single Underwater Image Restoration Using Adaptive Attenuation-Curve Prior. IEEE Trans. Circuits Syst. I Regul. Pap. (3) (2018)
Alexander Matyasko, Lap-Pui Chau
Improved Network Robustness with Adversary Critic. CoRR (2018)
Jie Chen, Cheen-Hau Tan, Junhui Hou, Lap-Pui Chau, He Li
Robust Video Content Alignment and Compensation for Rain Removal in a CNN Framework. CoRR (2018)
Jie Chen, Cheen-Hau Tan, Junhui Hou, Lap-Pui Chau, He Li
Robust Video Content Alignment and Compensation for Clear Vision Through the Rain. CoRR (2018)
Muhammet Bastan, Kim-Hui Yap, Lap-Pui Chau
Idling Car Detection with ConvNets in Infrared Image Sequences. ISCAS (2018)
Jie Chen, Junhui Hou, Lap-Pui Chau
Light Field Compression With Disparity-Guided Sparse Coding Based on Structural Key Views. IEEE Trans. Image Process. 27 (1) (2018)
Jie Chen, Junhui Hou, Yun Ni, Lap-Pui Chau
Accurate Light Field Depth Estimation With Superpixel Regularization Over Partially Occluded Regions. IEEE Trans. Image Process. 27 (10) (2018)
Alexander Matyasko, Lap-Pui Chau
Margin maximization for robust classification using deep learning. IJCNN (2017)
Cheen-Hau Tan, Jie Chen, Lap-Pui Chau
Edge-preserving rain removal for light fiele images based on RPCA. DSP (2017)
Yi Wang, Hui Liu, Lap-Pui Chau
Single underwater image restoration using attenuation-curve prior. ISCAS (2017)
Jie Chen, Lap-Pui Chau
Light Field Compressed Sensing Over a Disparity-Aware Dictionary. IEEE Trans. Circuits Syst. Video Technol. 27 (4) (2017)
Junhui Hou, Lap-Pui Chau, Ying He, Philip A. Chou
Sparse representation for colors of 3D point cloud via virtual adaptive sampling. ICASSP (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Lap-Pui Chau