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08/15/2023
AttMOT: Improving Multiple-Object Tracking by Introducing Auxiliary Pedestrian Attributes
Multi-object tracking (MOT) is a fundamental problem in computer vision ...
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03/11/2023
OCCL: a Deadlock-free Library for GPU Collective Communication
Various distributed deep neural network (DNN) training technologies lead...
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12/30/2022
Transformer in Transformer as Backbone for Deep Reinforcement Learning
Designing better deep networks and better reinforcement learning (RL) al...
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04/30/2022
AnimalTrack: A Large-scale Benchmark for Multi-Animal Tracking in the Wild
Multi-animal tracking (MAT), a multi-object tracking (MOT) problem, is c...
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11/22/2021
Florence: A New Foundation Model for Computer Vision
Automated visual understanding of our diverse and open world demands com...
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02/11/2021
Speech-language Pre-training for End-to-end Spoken Language Understanding
End-to-end (E2E) spoken language understanding (SLU) can infer semantics...
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03/05/2020
Reward Design in Cooperative Multi-agent Reinforcement Learning for Packet Routing
In cooperative multi-agent reinforcement learning (MARL), how to design ...
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12/03/2019
Learning Agent Communication under Limited Bandwidth by Message Pruning
Communication is a crucial factor for the big multi-agent world to stay ...
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02/26/2019
Learning Multi-agent Communication under Limited-bandwidth Restriction for Internet Packet Routing
Communication is an important factor for the big multi-agent world to st...
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11/13/2018
Modelling the Dynamic Joint Policy of Teammates with Attention Multi-agent DDPG
Modelling and exploiting teammates' policies in cooperative multi-agent ...
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06/10/2017
