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researcher

Michael J. Black

9 papers hereh-index 6125 citations11 works total

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

author position
  • middle author5
  • last author4

Across the 9 of 9 papers where every author was matched, so the position is known.

fields
  • cs.CV9
same name
  • Michael J. Black — 127 papers, h 138
  • Michael J. Black — 11 papers, h 10
  • Michael J. Black — 9 papers, h 7
  • Michael J. Black — 9 papers, h 7
  • Michael J. Black — 6 papers, h 4
  • Michael J. Black — 5 papers, h 5

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
20242026
most citedHUMOS: Human Motion Model Conditioned on Body Shape

1 citations · 2 across the 9 of their papers we have counts for

collaborators
Showing 2025 · cs.CVShow all

4 papers · 2 filters

cs.CV2025

Moving by Looking: Towards Vision-Driven Avatar Motion Generation

Markos Diomataris, Berat Mert Albaba, Giorgio Becherini +3

The way we perceive the world fundamentally shapes how we move, whether it is how we navigate in a room or how we interact with other humans. Current human motion generation method…

cs.CV2025

PICO: Reconstructing 3D People In Contact with Objects

Alpár Cseke, Shashank Tripathi, Sai Kumar Dwivedi +4

Recovering 3D Human-Object Interaction (HOI) from single color images is challenging due to depth ambiguities, occlusions, and the huge variation in object shape and appearance. Th…

cs.CV2025

InteractVLM: 3D Interaction Reasoning from 2D Foundational Models

Sai Kumar Dwivedi, Dimitrije Antić, Shashank Tripathi +4

We introduce InteractVLM, a novel method to estimate 3D contact points on human bodies and objects from single in-the-wild images, enabling accurate human-object joint reconstructi…

cs.CV2025

NIL: No-data Imitation Learning by Leveraging Pre-trained Video Diffusion Models

Mert Albaba, Chenhao Li, Markos Diomataris +3

Acquiring physically plausible motor skills across diverse and unconventional morphologies-including humanoid robots, quadrupeds, and animals-is essential for advancing character s…

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