ARTrackV2: Prompting Autoregressive Tracker Where to Look and How to Describe

1 code implementation • 28 Dec 2023 • Yifan Bai, Zeyang Zhao, Yihong Gong, Xing Wei

We present ARTrackV2, which integrates two pivotal aspects of tracking: determining where to look (localization) and how to describe (appearance analysis) the target object across video frames.

Object Template Matching +2

PlanE: Representation Learning over Planar Graphs

1 code implementation • NeurIPS 2023 • Radoslav Dimitrov, Zeyang Zhao, Ralph Abboud, İsmail İlkan Ceylan

Graph neural networks are prominent models for representation learning over graphs, where the idea is to iteratively compute representations of nodes of an input graph through a series of transformations in such a way that the learned graph function is isomorphism invariant on graphs, which makes the learned representations graph invariants.

Isomorphism Testing Representation Learning

Revolutionizing Agrifood Systems with Artificial Intelligence: A Survey

no code implementations • 3 May 2023 • Tao Chen, Liang Lv, Di Wang, Jing Zhang, Yue Yang, Zeyang Zhao, Chen Wang, Xiaowei Guo, Hao Chen, Qingye Wang, Yufei Xu, Qiming Zhang, Bo Du, Liangpei Zhang, DaCheng Tao

With the world population rapidly increasing, transforming our agrifood systems to be more productive, efficient, safe, and sustainable is crucial to mitigate potential food shortages.