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Rita Singh

18 papers here

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

author position
  • middle author13
  • last author4

Across the 17 of 18 papers where every author was matched, so the position is known.

fields
  • cs.CL7
  • cs.CV4
  • cs.SD4
  • eess.AS2
  • cs.LG1
ORCID 0000-0003-3743-0162
same name
  • Rita Singh — 24 papers, h 27
  • Rita Singh — 5 papers
  • Rita Singh — 1 paper, h 3

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
20232025
most citedGPT-Sentinel: Distinguishing Human and ChatGPT Generated Content

18 citations · 23 across the 18 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2024

R2-Bench: Benchmarking the Robustness of Referring Perception Models under Perturbations

Xiang Li, Kai Qiu, Jinglu Wang +6

Referring perception, which aims at grounding visual objects with multimodal referring guidance, is essential for bridging the gap between humans, who provide instructions, and the…

cs.CV2023★ 1 cited

Pairwise Similarity Learning is SimPLE

Yandong Wen, Weiyang Liu, Yao Feng +5

In this paper, we focus on a general yet important learning problem, pairwise similarity learning (PSL). PSL subsumes a wide range of important applications, such as open-set face…

cs.CV2023

The Hidden Dance of Phonemes and Visage: Unveiling the Enigmatic Link between Phonemes and Facial Features

Liao Qu, Xianwei Zou, Xiang Li +3

This work unveils the enigmatic link between phonemes and facial features. Traditional studies on voice-face correlations typically involve using a long period of voice input, incl…

cs.CV2023

Rethinking Voice-Face Correlation: A Geometry View

Xiang Li, Yandong Wen, Muqiao Yang +3

Previous works on voice-face matching and voice-guided face synthesis demonstrate strong correlations between voice and face, but mainly rely on coarse semantic cues such as gender…

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