251 citations · 1k across the 82 of their papers we have counts for
18 papers · 1 filter
Vision and Language: from Visual Perception to Content Creation
Tao Mei, Wei Zhang, Ting Yao
Vision and language are two fundamental capabilities of human intelligence. Humans routinely perform tasks through the interactions between vision and language, supporting the uniq…
Multi-Source Domain Adaptation and Semi-Supervised Domain Adaptation with Focus on Visual Domain Adaptation Challenge 2019
Yingwei Pan, Yehao Li, Qi Cai +2
This notebook paper presents an overview and comparative analysis of our systems designed for the following two tasks in Visual Domain Adaptation Challenge (VisDA-2019): multi-sour…
Scheduled Differentiable Architecture Search for Visual Recognition
Zhaofan Qiu, Ting Yao, Yiheng Zhang +2
Convolutional Neural Networks (CNN) have been regarded as a capable class of models for visual recognition problems. Nevertheless, it is not trivial to develop generic and powerful…
Hierarchy Parsing for Image Captioning
Ting Yao, Yingwei Pan, Yehao Li +1
It is always well believed that parsing an image into constituent visual patterns would be helpful for understanding and representing an image. Nevertheless, there has not been evi…
Deep Metric Learning with Density Adaptivity
Yehao Li, Ting Yao, Yingwei Pan +2
The problem of distance metric learning is mostly considered from the perspective of learning an embedding space, where the distances between pairs of examples are in correspondenc…
Gaussian Temporal Awareness Networks for Action Localization
Fuchen Long, Ting Yao, Zhaofan Qiu +3
Temporally localizing actions in a video is a fundamental challenge in video understanding. Most existing approaches have often drawn inspiration from image object detection and ex…
Customizable Architecture Search for Semantic Segmentation
Yiheng Zhang, Zhaofan Qiu, Jingen Liu +3
In this paper, we propose a Customizable Architecture Search (CAS) approach to automatically generate a network architecture for semantic image segmentation. The generated network…
Mocycle-GAN: Unpaired Video-to-Video Translation
Yang Chen, Yingwei Pan, Ting Yao +2
Unsupervised image-to-image translation is the task of translating an image from one domain to another in the absence of any paired training examples and tends to be more applicabl…
Relation Distillation Networks for Video Object Detection
Jiajun Deng, Yingwei Pan, Ting Yao +3
It has been well recognized that modeling object-to-object relations would be helpful for object detection. Nevertheless, the problem is not trivial especially when exploring the i…
daBNN: A Super Fast Inference Framework for Binary Neural Networks on ARM devices
Jianhao Zhang, Yingwei Pan, Ting Yao +2
It is always well believed that Binary Neural Networks (BNNs) could drastically accelerate the inference efficiency by replacing the arithmetic operations in float-valued Deep Neur…
Convolutional Auto-encoding of Sentence Topics for Image Paragraph Generation
Jing Wang, Yingwei Pan, Ting Yao +2
Image paragraph generation is the task of producing a coherent story (usually a paragraph) that describes the visual content of an image. The problem nevertheless is not trivial es…
vireoJD-MM at Activity Detection in Extended Videos
Fuchen Long, Qi Cai, Zhaofan Qiu +4
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. Specifi…
Trimmed Action Recognition, Dense-Captioning Events in Videos, and Spatio-temporal Action Localization with Focus on ActivityNet Challenge 2019
Zhaofan Qiu, Dong Li, Yehao Li +3
This notebook paper presents an overview and comparative analysis of our systems designed for the following three tasks in ActivityNet Challenge 2019: trimmed action recognition, d…
Learning Spatio-Temporal Representation with Local and Global Diffusion
Zhaofan Qiu, Ting Yao, Chong-Wah Ngo +2
Convolutional Neural Networks (CNN) have been regarded as a powerful class of models for visual recognition problems. Nevertheless, the convolutional filters in these networks are…
Temporal Deformable Convolutional Encoder-Decoder Networks for Video Captioning
Jingwen Chen, Yingwei Pan, Yehao Li +3
It is well believed that video captioning is a fundamental but challenging task in both computer vision and artificial intelligence fields. The prevalent approach is to map an inpu…
Pointing Novel Objects in Image Captioning
Yehao Li, Ting Yao, Yingwei Pan +2
Image captioning has received significant attention with remarkable improvements in recent advances. Nevertheless, images in the wild encapsulate rich knowledge and cannot be suffi…
Transferrable Prototypical Networks for Unsupervised Domain Adaptation
Yingwei Pan, Ting Yao, Yehao Li +3
In this paper, we introduce a new idea for unsupervised domain adaptation via a remold of Prototypical Networks, which learn an embedding space and perform classification via a rem…
Exploring Object Relation in Mean Teacher for Cross-Domain Detection
Qi Cai, Yingwei Pan, Chong-Wah Ngo +3
Rendering synthetic data (e.g., 3D CAD-rendered images) to generate annotations for learning deep models in vision tasks has attracted increasing attention in recent years. However…