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Derek Hoiem

22 papers hereh-index 5400 citations21 works total

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

author position
  • middle author6
  • last author15

Across the 21 of 22 papers where every author was matched, so the position is known.

fields
  • cs.CV17
  • cs.CL2
  • cs.AI1
  • cs.RO1
  • cs.SD1
same name
  • Derek Hoiem — 40 papers, h 53
  • Derek Hoiem — 1 paper

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
20232026
most citedUnified-IO 2: Scaling Autoregressive Multimodal Models with Vision, Language, Audio, and Action

3 citations · 5 across the 16 of their papers we have counts for

collaborators
Showing 2024Show all

4 papers · 1 filter

cs.CV2024

Visual Program Distillation with Template-Based Augmentation

Michal Shlapentokh-Rothman, Yu-Xiong Wang, Derek Hoiem

Adapting visual programming or prompting large language models (LLMs) to generate executable code for visual tasks like visual question answering (VQA) for specialized tasks or dom…

cs.CV2024

Plenoptic PNG: Real-Time Neural Radiance Fields in 150 KB

Jae Yong Lee, Yuqun Wu, Chuhang Zou +2

The goal of this paper is to encode a 3D scene into an extremely compact representation from 2D images and to enable its transmittance, decoding and rendering in real-time across v…

cs.CV2024

MonoPatchNeRF: Improving Neural Radiance Fields with Patch-based Monocular Guidance

Yuqun Wu, Jae Yong Lee, Chuhang Zou +2

The latest regularized Neural Radiance Field (NeRF) approaches produce poor geometry and view extrapolation for large scale sparse view scenes, such as ETH3D. Density-based approac…

cs.CV2024★ 1 cited

Region-Based Representations Revisited

Michal Shlapentokh-Rothman, Ansel Blume, Yao Xiao +7

We investigate whether region-based representations are effective for recognition. Regions were once a mainstay in recognition approaches, but pixel and patch-based features are no…

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