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researcher

Junyi Zhang

15 papers hereh-index 111.2k citations16 works total

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

author position
  • first author6
  • middle author8

Across the 14 of 15 papers where every author was matched, so the position is known.

fields
  • cs.CV10
  • cs.RO5
same name
  • Junyi Zhang — 11 papers, h 6
  • Junyi Zhang — 9 papers, h 6
  • Junyi Zhang — 4 papers, h 1
  • Junyi Zhang — 3 papers, h 5
  • Junyi Zhang — 2 papers, h 43
  • Junyi Zhang — 2 papers

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
20222026
most citedA Tale of Two Features: Stable Diffusion Complements DINO for Zero-Shot Semantic Correspondence

51 citations · 63 across the 13 of their papers we have counts for

collaborators
Showing 2025Show all

4 papers · 1 filter

cs.CV2025

Selfi: Self Improving Reconstruction Engine via 3D Geometric Feature Alignment

Youming Deng, Songyou Peng, Junyi Zhang +5

Novel View Synthesis (NVS) has traditionally relied on models with explicit 3D inductive biases combined with known camera parameters from Structure-from-Motion (SfM) beforehand. R…

cs.RO2025

Visual Imitation Enables Contextual Humanoid Control

Arthur Allshire, Hongsuk Choi, Junyi Zhang +7

How can we teach humanoids to climb staircases and sit on chairs using the surrounding environment context? Arguably, the simplest way is to just show them-casually capture a human…

cs.CV2025

St4RTrack: Simultaneous 4D Reconstruction and Tracking in the World

Haiwen Feng, Junyi Zhang, Qianqian Wang +5

Dynamic 3D reconstruction and point tracking in videos are typically treated as separate tasks, despite their deep connection. We propose St4RTrack, a feed-forward framework that s…

cs.RO2025

Pre-training Auto-regressive Robotic Models with 4D Representations

Dantong Niu, Yuvan Sharma, Haoru Xue +5

Foundation models pre-trained on massive unlabeled datasets have revolutionized natural language and computer vision, exhibiting remarkable generalization capabilities, thus highli…

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