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Jing Zhang

7 papers hereh-index 191.6k citations52 works total

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

author position
  • first author1
  • middle author5

Across the 6 of 7 papers where every author was matched, so the position is known.

fields
  • cs.CV6
  • eess.IV1
same name
  • Jing Zhang — 57 papers, h 41
  • Jing Zhang — 39 papers, h 23
  • Jing Zhang — 35 papers, h 32
  • Jing Zhang — 27 papers, h 21
  • Jing Zhang — 20 papers, h 9
  • Jing Zhang — 18 papers, h 7

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
20162021
most citedProgressive Retinex: Mutually Reinforced Illumination-Noise Perception Network for Low Light Image Enhancement

16 citations · 16 across the 3 of their papers we have counts for

collaborators
Showing 2021Show all

4 papers · 1 filter

cs.CV2021

Learning Visual Affordance Grounding from Demonstration Videos

Hongchen Luo, Wei Zhai, Jing Zhang +2

Visual affordance grounding aims to segment all possible interaction regions between people and objects from an image/video, which is beneficial for many applications, such as robo…

cs.CV2021

One-Shot Object Affordance Detection in the Wild

Wei Zhai, Hongchen Luo, Jing Zhang +2

Affordance detection refers to identifying the potential action possibilities of objects in an image, which is a crucial ability for robot perception and manipulation. To empower r…

cs.CV2021

Exploring Sequence Feature Alignment for Domain Adaptive Detection Transformers

Wen Wang, Yang Cao, Jing Zhang +4

Detection transformers have recently shown promising object detection results and attracted increasing attention. However, how to develop effective domain adaptation techniques to…

cs.CV2021

One-Shot Affordance Detection

Hongchen Luo, Wei Zhai, Jing Zhang +2

Affordance detection refers to identifying the potential action possibilities of objects in an image, which is an important ability for robot perception and manipulation. To empowe…

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