activity
20172022
most citedPixel-Level Cycle Association: A New Perspective for Domain Adaptive Semantic Segmentation

67 citations · 116 across the 7 of their papers we have counts for

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11 papers · 1 filter

cs.CV2022

Argus++: Robust Real-time Activity Detection for Unconstrained Video Streams with Overlapping Cube Proposals

Lijun Yu, Yijun Qian, Wenhe Liu +1

Activity detection is one of the attractive computer vision tasks to exploit the video streams captured by widely installed cameras. Although achieving impressive performance, conv…

cs.CV2021

Subspace Representation Learning for Few-shot Image Classification

Ting-Yao Hu, Zhi-Qi Cheng, Alexander G. Hauptmann

In this paper, we propose a subspace representation learning (SRL) framework to tackle few-shot image classification tasks. It exploits a subspace in local CNN feature space to rep…

cs.CV2021

Person Search Challenges and Solutions: A Survey

Xiangtan Lin, Pengzhen Ren, Yun Xiao +2

Person search has drawn increasing attention due to its real-world applications and research significance. Person search aims to find a probe person in a gallery of scene images wi…

cs.CV20215 cited

Multilingual Multimodal Pre-training for Zero-Shot Cross-Lingual Transfer of Vision-Language Models

Po-Yao Huang, Mandela Patrick, Junjie Hu +3

This paper studies zero-shot cross-lingual transfer of vision-language models. Specifically, we focus on multilingual text-to-video search and propose a Transformer-based model tha…

cs.CV2021

Pose Guided Person Image Generation with Hidden p-Norm Regression

Ting-Yao Hu, Alexander G. Hauptmann

In this paper, we propose a novel approach to solve the pose guided person image generation task. We assume that the relation between pose and appearance information can be describ…

cs.CV202067 cited

Pixel-Level Cycle Association: A New Perspective for Domain Adaptive Semantic Segmentation

Guoliang Kang, Yunchao Wei, Yi Yang +2

Domain adaptive semantic segmentation aims to train a model performing satisfactory pixel-level predictions on the target with only out-of-domain (source) annotations. The conventi…