collaborators

7 papers

cs.ET2026

ProbSplat: Efficient Probabilistic Hardware for Gaussian Splatting in 3D Scene Reconstruction

Siddarth Gottumukkula, M P Samartha, Vedant Pahariya +3

This paper presents ProbSplat, a Compute-in-Memory (CIM)-inspired architecture based on programmable and energy efficient floating-gate inverter columns for probabilistic computing…

cs.CV2026

ViSTR-Bench: Can MLLMs Reason from Continuous Visual Cues in Dynamic Scenes?

Han Li, Si Liu, Zehao Huang +6

Multimodal Large Language Models (MLLMs) have achieved remarkable success across diverse expert-level tasks, but they still struggle with fundamental abilities that humans naturall…

cs.CV2026

Generative Lane Topology Reasoning via Autoregressive Model with Geometry Prior

Jiahui Fu, Zehao Huang, Han Li +2

Lane topology reasoning aims to construct a lane graph from onboard sensor observations. Existing methods follow a detection and association paradigm that treats each lane instance…

cs.CV2026

VGGT-Segmentor: Geometry-Enhanced Cross-View Segmentation

Yulu Gao, Bohao Zhang, Zongheng Tang +3

Instance-level object segmentation across disparate egocentric and exocentric views is a fundamental challenge in visual understanding, critical for applications in embodied AI and…

cs.CV2026

Geometry-Guided 3D Visual Token Pruning for Video-Language Models

Han Li, Zehao Huang, Jiahui Fu +2

Multimodal large language models have demonstrated remarkable capabilities in 2D vision, motivating their extension to 3D scene understanding. Recent studies represent 3D scenes as…

cs.CV2026

LookasideVLN: Direction-Aware Aerial Vision-and-Language Navigation

Yuwei Ning, Ganlong Zhao, Yipeng Qin +4

Aerial Vision-and-Language Navigation (Aerial VLN) enables unmanned aerial vehicles (UAVs) to follow natural language instructions and navigate complex urban environments. While re…