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Hang Dai

12 papers hereh-index 151.4k citations25 works total

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

author position
  • middle author10
  • last author2

Across the 12 of 12 papers where every author was matched, so the position is known.

fields
  • cs.CV12
same name
  • Hang Dai — 5 papers, h 3
  • Hang Dai — 3 papers, h 3
  • Hang Dai — 1 paper, h 0

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
20202023
most citedCross-Modality Knowledge Distillation Network for Monocular 3D Object Detection

92 citations · 170 across the 12 of their papers we have counts for

collaborators
Showing 2021Show all

4 papers · 1 filter

cs.CV2021★ 3 cited

Video Transformer for Deepfake Detection with Incremental Learning

Sohail A. Khan, Hang Dai

Face forgery by deepfake is widely spread over the internet and this raises severe societal concerns. In this paper, we propose a novel video transformer with incremental learning…

cs.CV2021★ 6 cited

From Voxel to Point: IoU-guided 3D Object Detection for Point Cloud with Voxel-to-Point Decoder

Jiale Li, Hang Dai, Ling Shao +1

In this paper, we present an Intersection-over-Union (IoU) guided two-stage 3D object detector with a voxel-to-point decoder. To preserve the necessary information from all raw poi…

cs.CV2021★ 3 cited

Anchor-free 3D Single Stage Detector with Mask-Guided Attention for Point Cloud

Jiale Li, Hang Dai, Ling Shao +1

Most of the existing single-stage and two-stage 3D object detectors are anchor-based methods, while the efficient but challenging anchor-free single-stage 3D object detection is no…

cs.CV2021★ 2 cited

M3DSSD: Monocular 3D Single Stage Object Detector

Shujie Luo, Hang Dai, Ling Shao +1

In this paper, we propose a Monocular 3D Single Stage object Detector (M3DSSD) with feature alignment and asymmetric non-local attention. Current anchor-based monocular 3D object d…

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