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C. Hegde

69 papers hereh-index 326.3k citations170 works total

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

author position
  • sole author1
  • first author5
  • middle author22
  • last author40

Across the 68 of 69 papers where every author was matched, so the position is known.

fields
  • cs.LG28
  • stat.ML20
  • cs.CV11
  • cs.IT5
  • cs.CR3
  • cond-mat.mtrl-sci1
same name
  • C. Hegde — 1 paper, h 2

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
20082023
most citedModel-Based Compressive Sensing

1.3k citations · 1.7k across the 63 of their papers we have counts for

collaborators
Showing 2023 · cs.CVShow all

4 papers · 2 filters

cs.CV2023

Distributionally Robust Classification on a Data Budget

Benjamin Feuer, Ameya Joshi, Minh Pham +1

Real world uses of deep learning require predictable model behavior under distribution shifts. Models such as CLIP show emergent natural distributional robustness comparable to hum…

cs.CV2023

Identity-Preserving Aging of Face Images via Latent Diffusion Models

Sudipta Banerjee, Govind Mittal, Ameya Joshi +2

The performance of automated face recognition systems is inevitably impacted by the facial aging process. However, high quality datasets of individuals collected over several years…

cs.CV2023★ 1 cited

Vision-Language Models can Identify Distracted Driver Behavior from Naturalistic Videos

Md Zahid Hasan, Jiajing Chen, Jiyang Wang +6

Recognizing the activities causing distraction in real-world driving scenarios is critical for ensuring the safety and reliability of both drivers and pedestrians on the roadways.…

cs.CV2023

LiT Tuned Models for Efficient Species Detection

Andre Nakkab, Benjamin Feuer, Chinmay Hegde

Recent advances in training vision-language models have demonstrated unprecedented robustness and transfer learning effectiveness; however, standard computer vision datasets are im…

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