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Jiawei Ren

23 papers hereh-index 204.4k citations30 works total

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

author position
  • first author9
  • middle author13

Across the 22 of 23 papers where every author was matched, so the position is known.

fields
  • cs.CV21
  • cs.LG2
same name
  • Jiawei Ren — 7 papers, h 3
  • Jiawei Ren — 5 papers, h 5
  • Jiawei Ren — 3 papers, h 2
  • Jiawei Ren — 3 papers, h 4
  • Jiawei Ren — 1 paper
  • Jiawei Ren — 1 paper, h 8

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
20202025
most citedBalanced Meta-Softmax for Long-Tailed Visual Recognition

317 citations · 585 across the 22 of their papers we have counts for

collaborators
Showing 2024Show all

4 papers · 1 filter

cs.CV2024

Feed-Forward Bullet-Time Reconstruction of Dynamic Scenes from Monocular Videos

Hanxue Liang, Jiawei Ren, Ashkan Mirzaei +8

Recent advancements in static feed-forward scene reconstruction have demonstrated significant progress in high-quality novel view synthesis. However, these models often struggle wi…

cs.CV2024★ 1 cited

L4GM: Large 4D Gaussian Reconstruction Model

Jiawei Ren, Kevin Xie, Ashkan Mirzaei +8

We present L4GM, the first 4D Large Reconstruction Model that produces animated objects from a single-view video input -- in a single feed-forward pass that takes only a second. Ke…

cs.CV2024★ 18 cited

Benchmarking and Improving Bird's Eye View Perception Robustness in Autonomous Driving

Shaoyuan Xie, Lingdong Kong, Wenwei Zhang +4

Recent advancements in bird's eye view (BEV) representations have shown remarkable promise for in-vehicle 3D perception. However, while these methods have achieved impressive resul…

cs.CV2024★ 32 cited

Multi-Modal Data-Efficient 3D Scene Understanding for Autonomous Driving

Lingdong Kong, Xiang Xu, Jiawei Ren +5

Efficient data utilization is crucial for advancing 3D scene understanding in autonomous driving, where reliance on heavily human-annotated LiDAR point clouds challenges fully supe…

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