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Haifeng Hu

10 papers hereh-index 364.3k citations200 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author5
  • last author4

Across the 9 of 10 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • cs.AI3
  • cs.RO2
  • cs.LG1
same name
  • Haifeng Hu — 22 papers, h 14
  • Haifeng Hu — 5 papers, h 2
  • Haifeng Hu — 2 papers, h 5
  • Haifeng Hu — 2 papers, h 9
  • Haifeng Hu — 1 paper, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20192021
most citedLPF: A Language-Prior Feedback Objective Function for De-biased Visual Question Answering

50 citations · 80 across the 5 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2021★ 50 cited

LPF: A Language-Prior Feedback Objective Function for De-biased Visual Question Answering

Zujie Liang, Haifeng Hu, Jiaying Zhu

Most existing Visual Question Answering (VQA) systems tend to overly rely on language bias and hence fail to reason from the visual clue. To address this issue, we propose a novel…

cs.CV2020

Universal Multi-Source Domain Adaptation

Yueming Yin, Zhen Yang, Haifeng Hu +1

Unsupervised domain adaptation enables intelligent models to transfer knowledge from a labeled source domain to a similar but unlabeled target domain. Recent study reveals that kno…

cs.CV2020

Adaptive Interaction Modeling via Graph Operations Search

Haoxin Li, Wei-Shi Zheng, Yu Tao +2

Interaction modeling is important for video action analysis. Recently, several works design specific structures to model interactions in videos. However, their structures are manua…

cs.CV2019

Modality to Modality Translation: An Adversarial Representation Learning and Graph Fusion Network for Multimodal Fusion

Sijie Mai, Haifeng Hu, Songlong Xing

Learning joint embedding space for various modalities is of vital importance for multimodal fusion. Mainstream modality fusion approaches fail to achieve this goal, leaving a modal…

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