Summary of Sfmvit: Slowfast Meet Vit in Chaotic World, by Jiaying Lin et al.
SFMViT: SlowFast Meet ViT in Chaotic Worldby Jiaying Lin, Jiajun Wen, Mengyuan Liu, Jinfu Liu,…
Summary of Hummuss: Human Motion Understanding Using State Space Models, by Arnab Kumar Mondal et al.
HumMUSS: Human Motion Understanding using State Space Modelsby Arnab Kumar Mondal, Stefano Alletto, Denis TomeFirst…
Summary of A Lightweight Spatiotemporal Network For Online Eye Tracking with Event Camera, by Yan Ru Pei et al.
A Lightweight Spatiotemporal Network for Online Eye Tracking with Event Cameraby Yan Ru Pei, Sasskia…
Summary of Exploring Explainability in Video Action Recognition, by Avinab Saha et al.
Exploring Explainability in Video Action Recognitionby Avinab Saha, Shashank Gupta, Sravan Kumar Ankireddy, Karl Chahine,…
Summary of Llmsense: Harnessing Llms For High-level Reasoning Over Spatiotemporal Sensor Traces, by Xiaomin Ouyang and Mani Srivastava
LLMSense: Harnessing LLMs for High-level Reasoning Over Spatiotemporal Sensor Tracesby Xiaomin Ouyang, Mani SrivastavaFirst submitted…
Summary of Convolutional Two-stream Network Fusion For Video Action Recognition, by Christoph Feichtenhofer et al.
Convolutional Two-Stream Network Fusion for Video Action Recognitionby Christoph Feichtenhofer, Axel Pinz, Andrew ZissermanFirst submitted…
Summary of Conservation-informed Graph Learning For Spatiotemporal Dynamics Prediction, by Yuan Mi et al.
Conservation-informed Graph Learning for Spatiotemporal Dynamics Predictionby Yuan Mi, Pu Ren, Hongteng Xu, Hongsheng Liu,…
Summary of Matey: Multiscale Adaptive Foundation Models For Spatiotemporal Physical Systems, by Pei Zhang and M. Paul Laiu and Matthew Norman and Doug Stefanski and John Gounley
MATEY: multiscale adaptive foundation models for spatiotemporal physical systemsby Pei Zhang, M. Paul Laiu, Matthew…
Summary of Foundation Model For Lossy Compression Of Spatiotemporal Scientific Data, by Xiao Li and Jaemoon Lee and Anand Rangarajan and Sanjay Ranka
Foundation Model for Lossy Compression of Spatiotemporal Scientific Databy Xiao Li, Jaemoon Lee, Anand Rangarajan,…
Summary of Geopro-net: Learning Interpretable Spatiotemporal Prediction Models Through Statistically-guided Geo-prototyping, by Bang An et al.
GeoPro-Net: Learning Interpretable Spatiotemporal Prediction Models through Statistically-Guided Geo-Prototypingby Bang An, Xun Zhou, Zirui Zhou,…