activity
20242026
most citedSparseGS: Sparse View Synthesis using 3D Gaussian Splatting

5 citations · 5 across the 1 of their papers we have counts for

collaborators

10 papers

cs.CV20265 cited

SparseGS: Sparse View Synthesis using 3D Gaussian Splatting

Haolin Xiong, Sairisheek Muttukuru, Hanyuan Xiao +4

3D Gaussian Splatting (3DGS) has recently enabled real-time rendering of unbounded 3D scenes for novel view synthesis. However, this technique requires dense training views to accu…

cs.CV2026

MoCA3D: Monocular 3D Bounding Box Prediction in the Image Plane

Changwoo Jeon, Rishi Upadhyay, Achuta Kadambi

Monocular 3D object understanding has largely been cast as a 2D RoI-to-3D box lifting problem. However, emerging downstream applications require image-plane geometry (e.g., project…

cs.CV2026

SpatialStack: Layered Geometry-Language Fusion for 3D VLM Spatial Reasoning

Jian Zhang, Shijie Zhou, Bangya Liu +2

Large vision-language models (VLMs) still struggle with reliable 3D spatial reasoning, a core capability for embodied and physical AI systems. This limitation arises from their ina…

cs.CV2026

WorldBench: Benchmarking Physical Understanding of World Models by Isolating Physics Concepts

Rishi Upadhyay, Howard Zhang, Jim Solomon +7

Recent advances in generative foundational models, often termed "world models," have propelled interest in applying them to critical tasks like robotic planning and autonomous syst…

eess.IV2025

Equitable non-contact infrared thermography after solar loading using deep learning

Ellin Q. Zhao, Alexander Vilesov, Pradyumna Chari +2

Widely deployed for fever detection, infrared thermometers (IRTs) enable rapid non-contact measurement of core body temperature but are inaccurate in unconstrained environments whe…

cs.CV2025

MorphoSim: An Interactive, Controllable, and Editable Language-guided 4D World Simulator

Xuehai He, Shijie Zhou, Thivyanth Venkateswaran +4

World models that support controllable and editable spatiotemporal environments are valuable for robotics, enabling scalable training data, repro ducible evaluation, and flexible t…