Search Results for author: Chi-Keung Tang

Found 44 papers, 21 papers with code

Human Instance Matting via Mutual Guidance and Multi-Instance Refinement

1 code implementation22 May 2022 Yanan sun, Chi-Keung Tang, Yu-Wing Tai

A new instance matting metric called instance matting quality (IMQ) is proposed, which addresses the absence of a unified and fair means of evaluation emphasizing both instance recognition and matting quality.

HAA4D: Few-Shot Human Atomic Action Recognition via 3D Spatio-Temporal Skeletal Alignment

no code implementations15 Feb 2022 Mu-Ruei Tseng, Abhishek Gupta, Chi-Keung Tang, Yu-Wing Tai

All training and testing 3D skeletons in HAA4D are globally aligned, using a deep alignment model to the same global space, making each skeleton face the negative z-direction.

Action Recognition

Mask Transfiner for High-Quality Instance Segmentation

1 code implementation26 Nov 2021 Lei Ke, Martin Danelljan, Xia Li, Yu-Wing Tai, Chi-Keung Tang, Fisher Yu

Instead of operating on regular dense tensors, our Mask Transfiner decomposes and represents the image regions as a quadtree.

Instance Segmentation Semantic Segmentation

Occlusion-Aware Video Object Inpainting

no code implementations ICCV 2021 Lei Ke, Yu-Wing Tai, Chi-Keung Tang

To facilitate this new research, we construct the first large-scale video object inpainting benchmark YouTube-VOI to provide realistic occlusion scenarios with both occluded and visible object masks available.

Texture Synthesis Video Inpainting

Few-Shot Video Object Detection

1 code implementation30 Apr 2021 Qi Fan, Chi-Keung Tang, Yu-Wing Tai

We introduce Few-Shot Video Object Detection (FSVOD) with three contributions to visual learning in our highly diverse and dynamic world: 1) a large-scale video dataset FSVOD-500 comprising of 500 classes with class-balanced videos in each category for few-shot learning; 2) a novel Tube Proposal Network (TPN) to generate high-quality video tube proposals for aggregating feature representation for the target video object which can be highly dynamic; 3) a strategically improved Temporal Matching Network (TMN+) for matching representative query tube features with better discriminative ability thus achieving higher diversity.

Few-Shot Video Object Detection Video Object Detection

Deep Video Matting via Spatio-Temporal Alignment and Aggregation

1 code implementation CVPR 2021 Yanan sun, Guanzhi Wang, Qiao Gu, Chi-Keung Tang, Yu-Wing Tai

Despite the significant progress made by deep learning in natural image matting, there has been so far no representative work on deep learning for video matting due to the inherent technical challenges in reasoning temporal domain and lack of large-scale video matting datasets.

Frame Image Matting +2

Semantic Image Matting

1 code implementation CVPR 2021 Yanan sun, Chi-Keung Tang, Yu-Wing Tai

Specifically, we consider and learn 20 classes of matting patterns, and propose to extend the conventional trimap to semantic trimap.

Semantic Image Matting Transparent objects

Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers

1 code implementation CVPR 2021 Lei Ke, Yu-Wing Tai, Chi-Keung Tang

Segmenting highly-overlapping objects is challenging, because typically no distinction is made between real object contours and occlusion boundaries.

Amodal Instance Segmentation Boundary Detection +4

Modular Interactive Video Object Segmentation: Interaction-to-Mask, Propagation and Difference-Aware Fusion

4 code implementations CVPR 2021 Ho Kei Cheng, Yu-Wing Tai, Chi-Keung Tang

We present Modular interactive VOS (MiVOS) framework which decouples interaction-to-mask and mask propagation, allowing for higher generalizability and better performance.

 Ranked #1 on Interactive Video Object Segmentation on DAVIS 2017 (using extra training data)

Frame Interactive Video Object Segmentation +3

Semi-Supervised Few-Shot Atomic Action Recognition

1 code implementation17 Nov 2020 Xiaoyuan Ni, Sizhe Song, Yu-Wing Tai, Chi-Keung Tang

Despite excellent progress has been made, the performance on action recognition still heavily relies on specific datasets, which are difficult to extend new action classes due to labor-intensive labeling.

Action Recognition

HAA500: Human-Centric Atomic Action Dataset with Curated Videos

no code implementations ICCV 2021 Jihoon Chung, Cheng-hsin Wuu, Hsuan-ru Yang, Yu-Wing Tai, Chi-Keung Tang

We contribute HAA500, a manually annotated human-centric atomic action dataset for action recognition on 500 classes with over 591K labeled frames.

Action Classification Action Recognition

Pose-Guided High-Resolution Appearance Transfer via Progressive Training

no code implementations27 Aug 2020 Ji Liu, Heshan Liu, Mang-Tik Chiu, Yu-Wing Tai, Chi-Keung Tang

We propose a novel pose-guided appearance transfer network for transferring a given reference appearance to a target pose in unprecedented image resolution (1024 * 1024), given respectively an image of the reference and target person.

Video Generation

Cascaded deep monocular 3D human pose estimation with evolutionary training data

1 code implementation CVPR 2020 Shichao Li, Lei Ke, Kevin Pratama, Yu-Wing Tai, Chi-Keung Tang, Kwang-Ting Cheng

End-to-end deep representation learning has achieved remarkable accuracy for monocular 3D human pose estimation, yet these models may fail for unseen poses with limited and fixed training data.

Data Augmentation Monocular 3D Human Pose Estimation +2

One-Shot Object Detection without Fine-Tuning

1 code implementation8 May 2020 Xiang Li, Lin Zhang, Yau Pun Chen, Yu-Wing Tai, Chi-Keung Tang

Deep learning has revolutionized object detection thanks to large-scale datasets, but their object categories are still arguably very limited.

Metric Learning One-Shot Object Detection

CascadePSP: Toward Class-Agnostic and Very High-Resolution Segmentation via Global and Local Refinement

1 code implementation CVPR 2020 Ho Kei Cheng, Jihoon Chung, Yu-Wing Tai, Chi-Keung Tang

In this paper, we propose a novel approach to address the high-resolution segmentation problem without using any high-resolution training data.

 Ranked #1 on Semantic Segmentation on BIG (using extra training data)

Scene Parsing Semantic Segmentation

Template-Instance Loss for Offline Handwritten Chinese Character Recognition

no code implementations12 Oct 2019 Yao Xiao, Dan Meng, Cewu Lu, Chi-Keung Tang

The long-standing challenges for offline handwritten Chinese character recognition (HCCR) are twofold: Chinese characters can be very diverse and complicated while similarly looking, and cursive handwriting (due to increased writing speed and infrequent pen lifting) makes strokes and even characters connected together in a flowing manner.

Offline Handwritten Chinese Character Recognition

Few-Shot Object Detection with Attention-RPN and Multi-Relation Detector

3 code implementations CVPR 2020 Qi Fan, Wei Zhuo, Chi-Keung Tang, Yu-Wing Tai

To train our network, we contribute a new dataset that contains 1000 categories of various objects with high-quality annotations.

Few-Shot Object Detection

DAWN: Dual Augmented Memory Network for Unsupervised Video Object Tracking

no code implementations2 Aug 2019 Zhenmei Shi, Haoyang Fang, Yu-Wing Tai, Chi-Keung Tang

Our Dual Augmented Memory Network (DAWN) is unique in remembering both target and background, and using an improved attention LSTM memory to guide the focus on memorized features.

Video Object Tracking Visual Tracking

StableNet: Semi-Online, Multi-Scale Deep Video Stabilization

no code implementations24 Jul 2019 Chia-Hung Huang, Hang Yin, Yu-Wing Tai, Chi-Keung Tang

Video stabilization algorithms are of greater importance nowadays with the prevalence of hand-held devices which unavoidably produce videos with undesirable shaky motions.

Frame Video Stabilization

LADN: Local Adversarial Disentangling Network for Facial Makeup and De-Makeup

1 code implementation ICCV 2019 Qiao Gu, Guanzhi Wang, Mang Tik Chiu, Yu-Wing Tai, Chi-Keung Tang

Central to our method are multiple and overlapping local adversarial discriminators in a content-style disentangling network for achieving local detail transfer between facial images, with the use of asymmetric loss functions for dramatic makeup styles with high-frequency details.

Style Transfer

Deep High Dynamic Range Imaging with Large Foreground Motions

1 code implementation ECCV 2018 Shangzhe Wu, Jiarui Xu, Yu-Wing Tai, Chi-Keung Tang

In state-of-the-art deep HDR imaging, input images are first aligned using optical flows before merging, which are still error-prone due to occlusion and large motions.

Translation

Image Generation from Sketch Constraint Using Contextual GAN

1 code implementation ECCV 2018 Yongyi Lu, Shangzhe Wu, Yu-Wing Tai, Chi-Keung Tang

We train a generated adversarial network, i. e, contextual GAN to learn the joint distribution of sketch and the corresponding image by using joint images.

Image-to-Image Translation Translation

Deep Video Generation, Prediction and Completion of Human Action Sequences

no code implementations ECCV 2018 Haoye Cai, Chunyan Bai, Yu-Wing Tai, Chi-Keung Tang

In the second stage, a skeleton-to-image network is trained, which is used to generate a human action video given the complete human pose sequence generated in the first stage.

Human action generation Video Generation +1

Attribute-Guided Face Generation Using Conditional CycleGAN

no code implementations ECCV 2018 Yongyi Lu, Yu-Wing Tai, Chi-Keung Tang

We are interested in attribute-guided face generation: given a low-res face input image, an attribute vector that can be extracted from a high-res image (attribute image), our new method generates a high-res face image for the low-res input that satisfies the given attributes.

Face Generation Face Swapping +1

Beyond Holistic Object Recognition: Enriching Image Understanding with Part States

no code implementations CVPR 2018 Cewu Lu, Hao Su, Yongyi Lu, Li Yi, Chi-Keung Tang, Leonidas Guibas

Important high-level vision tasks such as human-object interaction, image captioning and robotic manipulation require rich semantic descriptions of objects at part level.

Human-Object Interaction Detection Image Captioning +1

Network Trimming: A Data-Driven Neuron Pruning Approach towards Efficient Deep Architectures

4 code implementations12 Jul 2016 Hengyuan Hu, Rui Peng, Yu-Wing Tai, Chi-Keung Tang

We alternate the pruning and retraining to further reduce zero activations in a network.

A Closed-Form Solution to Tensor Voting: Theory and Applications

no code implementations19 Jan 2016 Tai-Pang Wu, Sai-Kit Yeung, Jiaya Jia, Chi-Keung Tang, Gerard Medioni

We prove a closed-form solution to tensor voting (CFTV): given a point set in any dimensions, our closed-form solution provides an exact, continuous and efficient algorithm for computing a structure-aware tensor that simultaneously achieves salient structure detection and outlier attenuation.

Stereo Matching Stereo Matching Hand

Square Localization for Efficient and Accurate Object Detection

no code implementations ICCV 2015 Cewu Lu, Yongyi Lu, Hao Chen, Chi-Keung Tang

In the testing phase, sliding CNN models are applied which produces a set of response maps that can be effectively filtered by the learned co-presence prior to output the final bounding boxes for localizing an object.

Object Detection Object Localization

1-HKUST: Object Detection in ILSVRC 2014

no code implementations22 Sep 2014 Cewu Lu, Hao Chen, Qifeng Chen, Hei Law, Yao Xiao, Chi-Keung Tang

We participated in the object detection track of ILSVRC 2014 and received the fourth place among the 38 teams.

Object Detection Object Localization +1

Two-Class Weather Classification

no code implementations CVPR 2014 Cewu Lu, Di Lin, Jiaya Jia, Chi-Keung Tang

Given a single outdoor image, this paper proposes a collaborative learning approach for labeling it as either sunny or cloudy.

Classification General Classification

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