activity
20152023
most citedBillion-scale semi-supervised learning for image classification

330 citations · 849 across the 16 of their papers we have counts for

collaborators

21 papers

cs.CV2023★ 1 cited

VTQA: Visual Text Question Answering via Entity Alignment and Cross-Media Reasoning

Kang Chen, Xiangqian Wu

The ideal form of Visual Question Answering requires understanding, grounding and reasoning in the joint space of vision and language and serves as a proxy for the AI task of scene…

cs.CV2021★ 6 cited

Cross-Domain Adaptive Teacher for Object Detection

Yu-Jhe Li, Xiaoliang Dai, Chih-Yao Ma +6

We address the task of domain adaptation in object detection, where there is a domain gap between a domain with annotations (source) and a domain of interest without annotations (t…

cs.CV2021

Video Question Answering with Phrases via Semantic Roles

Arka Sadhu, Kan Chen, Ram Nevatia

Video Question Answering (VidQA) evaluation metrics have been limited to a single-word answer or selecting a phrase from a fixed set of phrases. These metrics limit the VidQA model…

cs.CV2021★ 28 cited

Unbiased Teacher for Semi-Supervised Object Detection

Yen-Cheng Liu, Chih-Yao Ma, Zijian He +6

Semi-supervised learning, i.e., training networks with both labeled and unlabeled data, has made significant progress recently. However, existing works have primarily focused on im…

cs.CV2020★ 22 cited

FBNetV3: Joint Architecture-Recipe Search using Predictor Pretraining

Xiaoliang Dai, Alvin Wan, Peizhao Zhang +8

Neural Architecture Search (NAS) yields state-of-the-art neural networks that outperform their best manually-designed counterparts. However, previous NAS methods search for archite…

cs.CV2020

CPARR: Category-based Proposal Analysis for Referring Relationships

Chuanzi He, Haidong Zhu, Jiyang Gao +2

The task of referring relationships is to localize subject and object entities in an image satisfying a relationship query, which is given in the form of \texttt{<subject, predicat…