1 code implementation • 1 Jun 2023 • Bingyi Kang, Xiao Ma, Yirui Wang, Yang Yue, Shuicheng Yan
Recently, Offline Reinforcement Learning (RL) has achieved remarkable progress with the emergence of various algorithms and datasets.
no code implementations • 10 Feb 2023 • Peng Cui, Yang Yue, Zhijie Deng, Jun Zhu
Deep neural networks (DNNs) have achieved remarkable success in a variety of computer vision tasks, where massive labeled images are routinely required for model optimization.
1 code implementation • 17 Nov 2022 • Yulin Wang, Yang Yue, Rui Lu, Tianjiao Liu, Zhao Zhong, Shiji Song, Gao Huang
It is also effective for self-supervised learning (e. g., MAE).
no code implementations • 17 Oct 2022 • Yang Yue, Bingyi Kang, Xiao Ma, Zhongwen Xu, Gao Huang, Shuicheng Yan
Therefore, we propose a simple yet effective method to boost offline RL algorithms based on the observation that resampling a dataset keeps the distribution support unchanged.
no code implementations • 27 Sep 2022 • Yulin Wang, Yang Yue, Xinhong Xu, Ali Hassani, Victor Kulikov, Nikita Orlov, Shiji Song, Humphrey Shi, Gao Huang
Recent research has revealed that reducing the temporal and spatial redundancy are both effective approaches towards efficient video recognition, e. g., allocating the majority of computation to a task-relevant subset of frames or the most valuable image regions of each frame.
no code implementations • 25 Jun 2022 • Yang Yue, Bingyi Kang, Zhongwen Xu, Gao Huang, Shuicheng Yan
Recently, visual representation learning has been shown to be effective and promising for boosting sample efficiency in RL.
no code implementations • 9 Feb 2022 • Xinyu Li, Yang Xu, Xiaohu Zhang, Wenzhong Shi, Yang Yue, Qingquan Li
As an important task for the management of bike sharing systems, accurate forecast of travel demand could facilitate dispatch and relocation of bicycles to improve user satisfaction.
1 code implementation • CVPR 2022 • Yulin Wang, Yang Yue, Yuanze Lin, Haojun Jiang, Zihang Lai, Victor Kulikov, Nikita Orlov, Humphrey Shi, Gao Huang
Recent works have shown that the computational efficiency of video recognition can be significantly improved by reducing the spatial redundancy.
1 code implementation • 15 Nov 2021 • Nguyen Van Hoang, Soeren Hougaard Mulvad, Dexter Neo Yuan Rong, Yang Yue
We propose ZERO, a model that performs zero-shot and few-shot learning in NER to generalize to unseen domains by incorporating pre-existing knowledge in the form of semantic word embeddings.
1 code implementation • 27 Oct 2021 • Yunfei Liu, Haofei Wang, Yang Yue, Feng Lu
Unsupervised image-to-image translation aims to learn the mapping between two visual domains with unpaired samples.
no code implementations • 29 Jul 2020 • Zongqian Zhan, Wenjie Jian, Yi-Hui Li, Xin Wang, Yang Yue
To solve the missing map problem, which is an issue in many applications , after the tracking is lost, based on monocular visual SLAM, we present a method of reconstructing a complete global map of UAV datasets by sequentially merging the submaps via the corresponding undirected connected graph.
no code implementations • 15 Jun 2018 • Yang Yue, Liuyuan He, Gan He, Jian. K. Liu, Kai Du, Yonghong Tian, Tiejun Huang
Photoreceptors in the retina are coupled by electrical synapses called "gap junctions".