activity
20172026
most citedLDLS: 3-D Object Segmentation Through Label Diffusion From 2-D Images

32 citations · 74 across the 19 of their papers we have counts for

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33 papers · 1 filter

cs.CV2026

When the City Teaches the Car: Label-Free 3D Perception from Infrastructure

Zhen Xu, Jinsu Yoo, Cristian Bautista +7

Building robust 3D perception for self-driving still relies heavily on large-scale data collection and manual annotation, yet this paradigm becomes impractical as deployment expand…

cs.CV2025

Color Bind: Exploring Color Perception in Text-to-Image Models

Shay Shomer-Chai, Wenxuan Peng, Bharath Hariharan +1

Text-to-image generation has recently seen remarkable success, granting users with the ability to create high-quality images through the use of text. However, contemporary methods…

cs.CV2025

MONITRS: Multimodal Observations of Natural Incidents Through Remote Sensing

Shreelekha Revankar, Utkarsh Mall, Cheng Perng Phoo +2

Natural disasters cause devastating damage to communities and infrastructure every year. Effective disaster response is hampered by the difficulty of accessing affected areas durin…

cs.CV2025

Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene

Tai-Yu Pan, Sooyoung Jeon, Mengdi Fan +6

Self-driving cars relying solely on ego-centric perception face limitations in sensing, often failing to detect occluded, faraway objects. Collaborative autonomous driving (CAV) se…

cs.CV2025

DiSciPLE: Learning Interpretable Programs for Scientific Visual Discovery

Utkarsh Mall, Cheng Perng Phoo, Mia Chiquier +3

Visual data is used in numerous different scientific workflows ranging from remote sensing to ecology. As the amount of observation data increases, the challenge is not just to mak…

cs.CV2025

Mixed Signals: A Diverse Point Cloud Dataset for Heterogeneous LiDAR V2X Collaboration

Katie Z Luo, Minh-Quan Dao, Zhenzhen Liu +9

Vehicle-to-everything (V2X) collaborative perception has emerged as a promising solution to address the limitations of single-vehicle perception systems. However, existing V2X data…