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Jiming Chen

22 papers here

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

author position
  • first author1
  • middle author7
  • last author14

Across the 22 of 22 papers where every author was matched, so the position is known.

fields
  • cs.RO5
  • cs.CV4
  • cs.CR3
  • cs.IT3
  • cs.LG2
  • cs.NI2
ORCID 0000-0003-3155-3145
same name
  • Jiming Chen — 9 papers, h 74
  • Jiming Chen — 4 papers, h 5
  • Jiming Chen — 3 papers
  • Jiming Chen — 3 papers
  • Jiming Chen — 2 papers
  • Jiming Chen — 1 paper, h 10

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
20142024
most citedVeriFi: Towards Verifiable Federated Unlearning

15 citations · 48 across the 22 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2024★ 1 cited

Context-Aware Integration of Language and Visual References for Natural Language Tracking

Yanyan Shao, Shuting He, Qi Ye +3

Tracking by natural language specification (TNL) aims to consistently localize a target in a video sequence given a linguistic description in the initial frame. Existing methodolog…

cs.CV2024

SAM-PD: How Far Can SAM Take Us in Tracking and Segmenting Anything in Videos by Prompt Denoising

Tao Zhou, Wenhan Luo, Qi Ye +2

Recently, promptable segmentation models, such as the Segment Anything Model (SAM), have demonstrated robust zero-shot generalization capabilities on static images. These promptabl…

cs.CV2023★ 4 cited

Seal-3D: Interactive Pixel-Level Editing for Neural Radiance Fields

Xiangyu Wang, Jingsen Zhu, Qi Ye +4

With the popularity of implicit neural representations, or neural radiance fields (NeRF), there is a pressing need for editing methods to interact with the implicit 3D models for t…

cs.CV2023

InterTracker: Discovering and Tracking General Objects Interacting with Hands in the Wild

Yanyan Shao, Qi Ye, Wenhan Luo +2

Understanding human interaction with objects is an important research topic for embodied Artificial Intelligence and identifying the objects that humans are interacting with is a p…

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