Search Results for author: Chong-Wah Ngo

Found 22 papers, 6 papers with code

Condensing a Sequence to One Informative Frame for Video Recognition

no code implementations ICCV 2021 Zhaofan Qiu, Ting Yao, Yan Shu, Chong-Wah Ngo, Tao Mei

This paper studies a two-step alternative that first condenses the video sequence to an informative "frame" and then exploits off-the-shelf image recognition system on the synthetic frame.

Motion Estimation Video Recognition

Optimization Planning for 3D ConvNets

1 code implementation11 Jan 2022 Zhaofan Qiu, Ting Yao, Chong-Wah Ngo, Tao Mei

In this paper, we decompose the path into a series of training "states" and specify the hyper-parameters, e. g., learning rate and the length of input clips, in each state.

Video Recognition

CONQUER: Contextual Query-aware Ranking for Video Corpus Moment Retrieval

1 code implementation21 Sep 2021 Zhijian Hou, Chong-Wah Ngo, Wing Kwong Chan

This task is essential because advanced video retrieval applications should enable users to retrieve a precise moment from a large video corpus.

Corpus Video Moment Retrieval Moment Retrieval +5

Token Shift Transformer for Video Classification

1 code implementation5 Aug 2021 Hao Zhang, Yanbin Hao, Chong-Wah Ngo

It is worth noticing that our TokShift transformer is a pure convolutional-free video transformer pilot with computational efficiency for video understanding.

Video Classification Video Understanding

Pyramid Fusion Dark Channel Prior for Single Image Dehazing

no code implementations21 May 2021 Qiyuan Liang, Bin Zhu, Chong-Wah Ngo

In this paper, we propose the pyramid fusion dark channel prior (PF-DCP) for single image dehazing.

Image Dehazing Single Image Dehazing

Multi-modal Cooking Workflow Construction for Food Recipes

no code implementations20 Aug 2020 Liangming Pan, Jingjing Chen, Jianlong Wu, Shaoteng Liu, Chong-Wah Ngo, Min-Yen Kan, Yu-Gang Jiang, Tat-Seng Chua

Understanding food recipe requires anticipating the implicit causal effects of cooking actions, such that the recipe can be converted into a graph describing the temporal workflow of the recipe.

Common Sense Reasoning

Transferring and Regularizing Prediction for Semantic Segmentation

no code implementations CVPR 2020 Yiheng Zhang, Zhaofan Qiu, Ting Yao, Chong-Wah Ngo, Dong Liu, Tao Mei

In the view of extremely expensive expert labeling, recent research has shown that the models trained on photo-realistic synthetic data (e. g., computer games) with computer-generated annotations can be adapted to real images.

Domain Adaptation Semantic Segmentation

Exploring Category-Agnostic Clusters for Open-Set Domain Adaptation

no code implementations CVPR 2020 Yingwei Pan, Ting Yao, Yehao Li, Chong-Wah Ngo, Tao Mei

A clustering branch is capitalized on to ensure that the learnt representation preserves such underlying structure by matching the estimated assignment distribution over clusters to the inherent cluster distribution for each target sample.

Unsupervised Domain Adaptation

k-sums: another side of k-means

no code implementations19 May 2020 Wan-Lei Zhao, Run-Qing Chen, Hui Ye, Chong-Wah Ngo

This optimization procedure converges faster to a better local minimum over k-means and many of its variants.

Stochastic Optimization

Deeply Activated Salient Region for Instance Search

no code implementations1 Feb 2020 Hui-Chu Xiao, Wan-Lei Zhao, Jie Lin, Chong-Wah Ngo

Due to the lack of proper mechanism in locating instances and deriving feature representation, instance search is generally only effective for retrieving instances of known object categories.

Image Retrieval Instance Search

On the Merge of k-NN Graph

1 code implementation2 Aug 2019 Wan-Lei Zhao, Hui Wang, Peng-Cheng Lin, Chong-Wah Ngo

Unfortunately, a closely related issue of how to merge two existing k-NN graphs has been overlooked.

graph construction Information Retrieval

vireoJD-MM at Activity Detection in Extended Videos

no code implementations20 Jun 2019 Fuchen Long, Qi Cai, Zhaofan Qiu, Zhijian Hou, Yingwei Pan, Ting Yao, Chong-Wah Ngo

This notebook paper presents an overview and comparative analysis of our system designed for activity detection in extended videos (ActEV-PC) in ActivityNet Challenge 2019.

Action Detection Action Localization +1

Learning Spatio-Temporal Representation with Local and Global Diffusion

no code implementations CVPR 2019 Zhaofan Qiu, Ting Yao, Chong-Wah Ngo, Xinmei Tian, Tao Mei

Diffusions effectively interact two aspects of information, i. e., localized and holistic, for more powerful way of representation learning.

Action Classification Action Detection +3

Transferrable Prototypical Networks for Unsupervised Domain Adaptation

no code implementations CVPR 2019 Yingwei Pan, Ting Yao, Yehao Li, Yu Wang, Chong-Wah Ngo, Tao Mei

Specifically, we present Transferrable Prototypical Networks (TPN) for adaptation such that the prototypes for each class in source and target domains are close in the embedding space and the score distributions predicted by prototypes separately on source and target data are similar.

Unsupervised Domain Adaptation

Exploring Object Relation in Mean Teacher for Cross-Domain Detection

1 code implementation CVPR 2019 Qi Cai, Yingwei Pan, Chong-Wah Ngo, Xinmei Tian, Ling-Yu Duan, Ting Yao

The whole architecture is then optimized with three consistency regularizations: 1) region-level consistency to align the region-level predictions between teacher and student, 2) inter-graph consistency for matching the graph structures between teacher and student, and 3) intra-graph consistency to enhance the similarity between regions of same class within the graph of student.

Unsupervised Domain Adaptation

On the Selection of Anchors and Targets for Video Hyperlinking

no code implementations14 Apr 2018 Zhi-Qi Cheng, Hao Zhang, Xiao Wu, Chong-Wah Ngo

A principle way of hyperlinking can be carried out by picking centers of clusters as anchors and from there reach out to targets within or outside of clusters with consideration of neighborhood complexity.

Approximate k-NN Graph Construction: a Generic Online Approach

no code implementations9 Apr 2018 Wan-Lei Zhao, Hui Wang, Chong-Wah Ngo

On the one hand, the approximate k-nearest neighbor graph construction is treated as a search task.

graph construction Information Retrieval

Boost K-Means

no code implementations8 Oct 2016 Wan-Lei Zhao, Cheng-Hao Deng, Chong-Wah Ngo

The performance of k-means has been enhanced from different perspectives over the years.

Image Clustering Stochastic Optimization

Learning Query and Image Similarities With Ranking Canonical Correlation Analysis

no code implementations ICCV 2015 Ting Yao, Tao Mei, Chong-Wah Ngo

One of the fundamental problems in image search is to learn the ranking functions, i. e., similarity between the query and image.

Image Retrieval

Semi-Supervised Domain Adaptation With Subspace Learning for Visual Recognition

no code implementations CVPR 2015 Ting Yao, Yingwei Pan, Chong-Wah Ngo, Houqiang Li, Tao Mei

In many real-world applications, we are often facing the problem of cross domain learning, i. e., to borrow the labeled data or transfer the already learnt knowledge from a source domain to a target domain.

Domain Adaptation Object Recognition

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