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Jiachen Li

3 papers here

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

author position
  • first author1
  • middle author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CV3
ORCID 0009-0005-2965-8468
same name
  • Jiachen Li — 31 papers, h 28
  • Jiachen Li — 26 papers, h 2
  • Jiachen Li — 11 papers, h 6
  • Jiachen Li — 9 papers, h 4
  • Jiachen Li — 9 papers, h 4
  • Jiachen Li — 8 papers, h 5

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

most citedSeMask: Semantically Masked Transformers for Semantic Segmentation

31 citations · 39 across the 3 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2024★ 1 cited

TC-Bench: Benchmarking Temporal Compositionality in Text-to-Video and Image-to-Video Generation

Weixi Feng, Jiachen Li, Michael Saxon +3

Video generation has many unique challenges beyond those of image generation. The temporal dimension introduces extensive possible variations across frames, over which consistency…

cs.CV2022★ 8 cited

VMFormer: End-to-End Video Matting with Transformer

Jiachen Li, Vidit Goel, Marianna Ohanyan +3

Video matting aims to predict the alpha mattes for each frame from a given input video sequence. Recent solutions to video matting have been dominated by deep convolutional neural…

cs.CV2022

Point-to-Box Network for Accurate Object Detection via Single Point Supervision

Pengfei Chen, Xuehui Yu, Xumeng Han +7

Object detection using single point supervision has received increasing attention over the years. However, the performance gap between point supervised object detection (PSOD) and…

cs.CV2021★ 31 cited

SeMask: Semantically Masked Transformers for Semantic Segmentation

Jitesh Jain, Anukriti Singh, Nikita Orlov +4

Finetuning a pretrained backbone in the encoder part of an image transformer network has been the traditional approach for the semantic segmentation task. However, such an approach…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.