no code implementations • 30 Apr 2024 • Longlong Jing, Ruichi Yu, Xu Chen, Zhengli Zhao, Shiwei Sheng, Colin Graber, Qi Chen, Qinru Li, Shangxuan Wu, Han Deng, Sangjin Lee, Chris Sweeney, Qiurui He, Wei-Chih Hung, Tong He, Xingyi Zhou, Farshid Moussavi, Zijian Guo, Yin Zhou, Mingxing Tan, Weilong Yang, CongCong Li
In this paper, we propose STT, a Stateful Tracking model built with Transformers, that can consistently track objects in the scenes while also predicting their states accurately.
1 code implementation • CVPR 2022 • Colin Graber, Cyril Jazra, Wenjie Luo, LiangYan Gui, Alexander Schwing
For this, panoptic segmentations have been studied as a compelling representation in recent work.
no code implementations • CVPR 2021 • Colin Graber, Grace Tsai, Michael Firman, Gabriel Brostow, Alexander Schwing
Following this decomposition, we introduce panoptic segmentation forecasting.
1 code implementation • CVPR 2020 • Colin Graber, Alexander G. Schwing
Understanding interactions between entities, e. g., joints of the human body, team sports players, etc., is crucial for tasks like forecasting.
1 code implementation • NeurIPS 2019 • Colin Graber, Alexander Schwing
For joint inference over multiple variables, a variety of structured prediction techniques have been developed to model correlations among variables and thereby improve predictions.
no code implementations • NeurIPS Workshop Neuro_AI 2019 • Colin Graber, Ryan Loh, Yurii Vlasov, Alexander Schwing
What can we learn about the functional organization of cortical microcircuits from large-scale recordings of neural activity?
1 code implementation • NeurIPS 2018 • Colin Graber, Ofer Meshi, Alexander Schwing
Deep structured models are widely used for tasks like semantic segmentation, where explicit correlations between variables provide important prior information which generally helps to reduce the data needs of deep nets.
no code implementations • WS 2017 • Anjali Narayan-Chen, Colin Graber, Mayukh Das, Md. Rakibul Islam, Soham Dan, Sriraam Natarajan, Janardhan Rao Doppa, Julia Hockenmaier, Martha Palmer, Dan Roth
Agents that communicate back and forth with humans to help them execute non-linguistic tasks are a long sought goal of AI.