Skip to yearly menu bar Skip to main content


Search All 2024 Events
 

43 Results

<<   <   Page 1 of 4   >   >>
Workshop
An Embodied Generalist Agent in 3D World
Jiangyong Huang · Silong Yong · Xiaojian Ma · Xiongkun Linghu · Puhao Li · Yan Wang · Qing Li · Song-Chun Zhu · Baoxiong Jia · Siyuan Huang
Poster
Thu 7:30 Tuning LayerNorm in Attention: Towards Efficient Multi-Modal LLM Finetuning
Bingchen Zhao · Haoqin Tu · Chen Wei · Jieru Mei · Cihang Xie
Poster
Tue 1:45 DV-3DLane: End-to-end Multi-modal 3D Lane Detection with Dual-view Representation
Yueru Luo · Shuguang Cui · Zhen Li
Workshop
Sat 2:40 Multi-Modal Contrastive Learning for Proteins by Combining Domain-Informed Views
Haotian Xu · Yuning You · Yang Shen
Poster
Tue 1:45 Understanding the Robustness of Multi-modal Contrastive Learning to Distribution Shift
Yihao Xue · Siddharth Joshi · Dang Nguyen · Baharan Mirzasoleiman
Poster
Tue 7:30 Multi-modal Gaussian Process Variational Autoencoders for Neural and Behavioral Data
Rabia Gondur · Usama Bin Sikandar · Evan Schaffer · Mikio Aoi · Stephen Keeley
Workshop
Mobile-Agent: Autonomous Multi-Modal Mobile Device Agent with Visual Perception
Junyang Wang · Haiyang Xu · Jiabo Ye · Ming Yan · Weizhou Shen · Ji Zhang · Fei Huang · Jitao Sang
Workshop
Forecasting regional PV power in Great Britain with a multi-modal late fusion network
James Fulton · Jacob Bieker · Peter Dudfield · Solomon Cotton · Zakari Watts · Jack Kelly
Poster
Tue 7:30 Quantifying and Enhancing Multi-modal Robustness with Modality Preference
Zequn Yang · Yake Wei · Ce Liang · Di Hu
Workshop
Sat 0:15 Advancing Enterprise Spatio-Temporal Forecasting Applications : Data Mining Meets Instruction Tuning of Language Models for Multi-Modal Time Series Analysis in Low-Resource Settings
Sagar Srinivas Sakhinana
Poster
Tue 1:45 Mitigating Hallucination in Large Multi-Modal Models via Robust Instruction Tuning
Fuxiao Liu · Kevin Lin · Linjie Li · Jianfeng Wang · Yaser Yacoob · Lijuan Wang
Workshop
ADVANCING ENTERPRISE SPATIO-TEMPORAL FORECASTING APPLICATIONS : DATA MINING MEETS INSTRUCTION TUNING OF LANGUAGE MODELS FOR MULTI-MODAL TIME SERIES ANALYSIS IN LOW-RESOURCE SETTINGS
Sagar Srinivas Sakhinana · Sannidhi Geethan · Chidaksh Ravuru · Venkataramana Runkana