works on

From the 1 of 9 linked papers with an AI index.

activity
20242026
most citedUtilizing Earth Foundation Models to Enhance the Simulation Performance of Hydrological Models with AlphaEarth Embeddings

1 citations · 1 across the 2 of their papers we have counts for

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9 papers

cs.CV2026

Vinci2: Providing Proactive Assistance in Continuous Egocentric Videos

Gong Sitong, Tianyu Yan, Caixin Kang +6

The paper introduces Vinci2, a proactive on‑device assistant for continuous egocentric video that decides when to intervene by using memory‑augmented reasoning, and presents EgoSer…

cs.LG20261 cited

Utilizing Earth Foundation Models to Enhance the Simulation Performance of Hydrological Models with AlphaEarth Embeddings

Pengfei Qu, Wenyu Ouyang, Chi Zhang +6

Predicting river flow in places without streamflow records is challenging because basins respond differently to climate, terrain, vegetation, and soils. Traditional basin attribute…

cs.CV2026

Towards Cross-Platform Generalization: Domain Adaptive 3D Detection with Augmentation and Pseudo-Labeling

Xiyan Feng, Wenbo Zhang, Lu Zhang +3

This technical report represents the award-winning solution to the Cross-platform 3D Object Detection task in the RoboSense2025 Challenge. Our approach is built upon PVRCNN++, an e…

cs.RO2026

The RoboSense Challenge: Sense Anything, Navigate Anywhere, Adapt Across Platforms

Lingdong Kong, Shaoyuan Xie, Zeying Gong +135

Autonomous systems are increasingly deployed in open and dynamic environments -- from city streets to aerial and indoor spaces -- where perception models must remain reliable under…

cs.HC2025

Living the Novel: A System for Generating Self-Training Timeline-Aware Conversational Agents from Novels

Yifei Huang, Tianyu Yan, Sitong Gong +5

We present the Living Novel, an end-to-end system that transforms any literary work into an immersive, multi-character conversational experience. This system is designed to solve t…

cs.CV2025

Parameter Aware Mamba Model for Multi-task Dense Prediction

Xinzhuo Yu, Yunzhi Zhuge, Sitong Gong +3

Understanding the inter-relations and interactions between tasks is crucial for multi-task dense prediction. Existing methods predominantly utilize convolutional layers and attenti…