Search Results for author: S. -H. Gary Chan

Found 11 papers, 6 papers with code

TVConv: Efficient Translation Variant Convolution for Layout-aware Visual Processing

1 code implementation CVPR 2022 Jierun Chen, Tianlang He, Weipeng Zhuo, Li Ma, Sangtae Ha, S. -H. Gary Chan

Extensive experiments on face recognition show that TVConv reduces the computational cost by up to 3. 1x and improves the corresponding throughput by 2. 3x while maintaining a high accuracy compared to the depthwise convolution.

Face Recognition Image Segmentation +3

A Lightweight and Accurate Spatial-Temporal Transformer for Traffic Forecasting

1 code implementation30 Dec 2021 Guanyao Li, Shuhan Zhong, S. -H. Gary Chan, Ruiyuan Li, Chih-Chieh Hung, Wen-Chih Peng

The information fusion module captures the complex spatial-temporal dependency between regions.

NAS-OoD: Neural Architecture Search for Out-of-Distribution Generalization

1 code implementation ICCV 2021 Haoyue Bai, Fengwei Zhou, Lanqing Hong, Nanyang Ye, S. -H. Gary Chan, Zhenguo Li

In this work, we propose robust Neural Architecture Search for OoD generalization (NAS-OoD), which optimizes the architecture with respect to its performance on generated OoD data by gradient descent.

Domain Generalization Neural Architecture Search +1

Motion-guided Non-local Spatial-Temporal Network for Video Crowd Counting

no code implementations28 Apr 2021 Haoyue Bai, S. -H. Gary Chan

Noting the scarcity and low quality (in terms of resolution and scene diversity) of the publicly available video crowd datasets, we have collected and built a large-scale video crowd counting datasets, VidCrowd, to contribute to the community.

Crowd Counting

Joint Demosaicking and Denoising in the Wild: The Case of Training Under Ground Truth Uncertainty

no code implementations12 Jan 2021 Jierun Chen, Song Wen, S. -H. Gary Chan

In this paper, we propose and study Wild-JDD, a novel learning framework for joint demosaicking and denoising in the wild.

Demosaicking Denoising

A Survey on Deep Learning-based Single Image Crowd Counting: Network Design, Loss Function and Supervisory Signal

1 code implementation31 Dec 2020 Haoyue Bai, Jiageng Mao, S. -H. Gary Chan

Single image crowd counting is a challenging computer vision problem with wide applications in public safety, city planning, traffic management, etc.

Crowd Counting Management

Crowd Counting on Images with Scale Variation and Isolated Clusters

1 code implementation9 Sep 2019 Haoyue Bai, Song Wen, S. -H. Gary Chan

Designing a general crowd counting algorithm applicable to a wide range of crowd images is challenging, mainly due to the possibly large variation in object scales and the presence of many isolated small clusters.

Crowd Counting

DA-LSTM: A Long Short-Term Memory with Depth Adaptive to Non-uniform Information Flow in Sequential Data

no code implementations18 Jan 2019 Yifeng Zhang, Ka-Ho Chow, S. -H. Gary Chan

In this paper, we develop a Depth-Adaptive Long Short-Term Memory (DA-LSTM) architecture, which can dynamically adjust the structure depending on information distribution without prior knowledge.

Representation Learning of Pedestrian Trajectories Using Actor-Critic Sequence-to-Sequence Autoencoder

no code implementations20 Nov 2018 Ka-Ho Chow, Anish Hiranandani, Yifeng Zhang, S. -H. Gary Chan

Representation learning of pedestrian trajectories transforms variable-length timestamp-coordinate tuples of a trajectory into a fixed-length vector representation that summarizes spatiotemporal characteristics.

Representation Learning

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