1 code implementation • ECCV 2020 • Xier Chen, Yanchao Lian, Licheng Jiao, Haoran Wang, YanJie Gao, Shi Lingling
In this task, many works segment instance based on a bounding box from the box head, which means the quality of the detection also affects the completeness of the mask.
1 code implementation • NeurIPS 2021 • Haoran Wang, Weitang Liu, Alex Bocchieri, Yixuan Li
Our results show consistent improvement over previous methods that are based on the maximum-valued scores, which fail to capture joint information from multiple labels.
no code implementations • 18 Sep 2021 • Weixuan Wang, Xiaoling Cai, Chong Hsuan Huang, Haoran Wang, Haonan Lu, Ximing Liu, Wei Peng
In this paper, we describe approaches for developing Emily, an emotion-affective open-domain chatbot.
1 code implementation • Part of the Lecture Notes in Computer Science book series 2021 • Haoran Wang, Chong Li, Thibaut Tachon, Hongxing Wang, Sheng Yang, Sébastien Limet, Sophie Robert
We propose the Flex-Edge Recursive Graph and the Double Recursive Algorithm, successfully limiting our parallelization strategy generation to a linear complexity with a good quality of parallelization strategy.
1 code implementation • Proceedings of the 29th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering 2021 • Haoran Wang
Hybrid Parallelism (HP), which applies different parallel strategies on different parts of DNNs, is more efficient but requires advanced configurations.
1 code implementation • 15 Aug 2021 • Mahdi S. Hosseini, Jia Shu Zhang, Zhe Liu, Andre Fu, Jingxuan Su, Mathieu Tuli, Sepehr Hosseini, Arsh Kadakia, Haoran Wang, Konstantinos N. Plataniotis
To solve this, we introduce an efficient dynamic scaling algorithm -- CONet -- that automatically optimizes channel sizes across network layers for a given CNN.
no code implementations • 11 Jun 2021 • Zhong Ji, Kexin Chen, Haoran Wang
Image-text matching plays a central role in bridging the semantic gap between vision and language.
1 code implementation • NeurIPS 2021 • Haoran Wang, Weitang Liu, Alex Bocchieri, Yixuan Li
Our results show consistent improvement over previous methods that are based on the maximum-valued scores, which fail to capture joint information from multiple labels.
no code implementations • 19 May 2021 • Haoran Wang, Shi Yu
Machine Learning (ML) has been embraced as a powerful tool by the financial industry, with notable applications spreading in various domains including investment management.
1 code implementation • IEEE International Parallel and Distributed Processing Symposium Workshops 2021 • Haoran Wang
In order to formalize the behaviors of the HP in distributed DL and quantitatively evaluate the cost caused by HP, we are studying Bridging DL composed by a double-level execution model associated with a symbolic cost model.
no code implementations • 23 Mar 2021 • Jia Guo, Michael E. Kepler, Sai Tej Paruchuri, Haoran Wang, Andrew J. Kurdila, Daniel J. Stilwell
Approximations of the evolution of the ideal local estimate $\hat{g}^i_t$ of agent $i$ is constructed solely using observations made by agent $i$ on a fine time scale.
no code implementations • 1 Jan 2021 • Haoran Wang, Weitang Liu, Alex Bocchieri, Yixuan Li
Our results show consistent improvement over previous methods that are based on the maximum-valued scores, which fail to capture joint information from multiple labels.
no code implementations • 18 Dec 2020 • Jerry Zikun Chen, Shi Yu, Haoran Wang
Query reformulation aims to alter noisy or ambiguous text sequences into coherent ones closer to natural language questions.
no code implementations • 8 Dec 2020 • Deyi Ji, Haoran Wang, Hanzhe Hu, Weihao Gan, Wei Wu, Junjie Yan
Most existing re-identification methods focus on learning robust and discriminative features with deep convolution networks.
no code implementations • 19 Oct 2020 • Fangtao Li, Wenzhe Wang, Zihe Liu, Haoran Wang, Chenghao Yan, Bin Wu
To tackle the challenges above, we propose a novel Frame Aggregation and Multi-Modal Fusion (FAMF) framework for video-based person recognition, which aggregates face features and incorporates them with multi-modal information to identify persons in videos.
no code implementations • 4 Oct 2020 • Shi Yu, Haoran Wang, Chaosheng Dong
Our approach allows the learner to continuously estimate real-time risk preferences using concurrent observed portfolios and market price data.
no code implementations • 18 Aug 2020 • Yuqian Zhou, Michael Kwan, Kyle Tolentino, Neil Emerton, Sehoon Lim, Tim Large, Lijiang Fu, Zhihong Pan, Baopu Li, Qirui Yang, Yihao Liu, Jigang Tang, Tao Ku, Shibin Ma, Bingnan Hu, Jiarong Wang, Densen Puthussery, Hrishikesh P. S, Melvin Kuriakose, Jiji C. V, Varun Sundar, Sumanth Hegde, Divya Kothandaraman, Kaushik Mitra, Akashdeep Jassal, Nisarg A. Shah, Sabari Nathan, Nagat Abdalla Esiad Rahel, Dafan Chen, Shichao Nie, Shuting Yin, Chengconghui Ma, Haoran Wang, Tongtong Zhao, Shanshan Zhao, Joshua Rego, Huaijin Chen, Shuai Li, Zhenhua Hu, Kin Wai Lau, Lai-Man Po, Dahai Yu, Yasar Abbas Ur Rehman, Yiqun Li, Lianping Xing
The results in the paper are state-of-the-art restoration performance of Under-Display Camera Restoration.
1 code implementation • ECCV 2020 • Haoran Wang, Ying Zhang, Zhong Ji, Yanwei Pang, Lin Ma
In this paper, we propose a Consensus-aware Visual-Semantic Embedding (CVSE) model to incorporate the consensus information, namely the commonsense knowledge shared between both modalities, into image-text matching.
1 code implementation • ECCV 2020 • Haoran Wang, Tong Shen, Wei zhang, Ling-Yu Duan, Tao Mei
To fully exploit the supervision in the source domain, we propose a fine-grained adversarial learning strategy for class-level feature alignment while preserving the internal structure of semantics across domains.
Ranked #11 on
Image-to-Image Translation
on SYNTHIA-to-Cityscapes
no code implementations • International Conference on Computer Vision Workshops 2019 • Dawei Du, Pengfei Zhu, Longyin Wen, Xiao Bian, Haibin Lin, QinGhua Hu, Tao Peng, Jiayu Zheng, Xinyao Wang, Yue Zhang, Liefeng Bo, Hailin Shi, Rui Zhu, Aashish Kumar, Aijin Li, Almaz Zinollayev, Anuar Askergaliyev, Arne Schumann, Binjie Mao, Byeongwon Lee, Chang Liu, Changrui Chen, Chunhong Pan, Chunlei Huo, Da Yu, Dechun Cong, Dening Zeng, Dheeraj Reddy Pailla, Di Li, Dong Wang, Donghyeon Cho, Dongyu Zhang, Furui Bai, George Jose, Guangyu Gao, Guizhong Liu, Haitao Xiong, Hao Qi, Haoran Wang, Heqian Qiu, Hongliang Li, Huchuan Lu, Ildoo Kim, Jaekyum Kim, Jane Shen, Jihoon Lee, Jing Ge, Jingjing Xu, Jingkai Zhou, Jonas Meier, Jun Won Choi, Junhao Hu, Junyi Zhang, Junying Huang, Kaiqi Huang, Keyang Wang, Lars Sommer, Lei Jin, Lei Zhang
Results of 33 object detection algorithms are presented.
no code implementations • 26 Jul 2019 • Haoran Wang
We propose to solve large scale Markowitz mean-variance (MV) portfolio allocation problem using reinforcement learning (RL).
no code implementations • 25 Apr 2019 • Haoran Wang, Xun Yu Zhou
We approach the continuous-time mean-variance (MV) portfolio selection with reinforcement learning (RL).
no code implementations • ICCV 2019 • Zhong Ji, Haoran Wang, Jungong Han, Yanwei Pang
Concretely, the saliency detector provides the visual saliency information as the guidance for the two attention modules.
no code implementations • 22 Dec 2018 • Chenliang Li, Yu Duan, Haoran Wang, Zhiqian Zhang, Aixin Sun, Zongyang Ma
Recent studies show that the Dirichlet Multinomial Mixture (DMM) model is effective for topic inference over short texts by assuming that each piece of short text is generated by a single topic.
no code implementations • 4 Dec 2018 • Haoran Wang, Thaleia Zariphopoulou, Xunyu Zhou
We carry out a complete analysis of the problem in the linear--quadratic (LQ) setting and deduce that the optimal feedback control distribution for balancing exploitation and exploration is Gaussian.
3 code implementations • 29 Nov 2018 • Haoran Wang, Yue Fan, Zexin Wang, Licheng Jiao, Bernt Schiele
We propose a novel architecture for Person Re-Identification, based on a novel parameter-free spatial attention layer introducing spatial relations among the feature map activations back to the model.
Ranked #17 on
Person Re-Identification
on DukeMTMC-reID
no code implementations • CVPR 2013 • Chunfeng Yuan, Weiming Hu, Guodong Tian, Shuang Yang, Haoran Wang
In this paper, we formulate human action recognition as a novel Multi-Task Sparse Learning(MTSL) framework which aims to construct a test sample with multiple features from as few bases as possible.