no code implementations • ECCV 2020 • Fan Wang, Huidong Liu, Dimitris Samaras, Chao Chen
We show in experiments that our method generates synthetic images with realistic topology.
no code implementations • EMNLP (NLP4ConvAI) 2021 • Xinxian Huang, Huang He, Siqi Bao, Fan Wang, Hua Wu, Haifeng Wang
Large-scale conversation models are turning to leveraging external knowledge to improve the factual accuracy in response generation.
no code implementations • ECCV 2020 • Yi Huang, Fan Wang, Adams Wai-Kin Kong, Kwok-Yan Lam
The experiments show that the universal patches are able to mislead the detector with greater probabilities.
no code implementations • 28 Jun 2022 • Han Zhou, Xinchao Xu, Wenquan Wu, ZhengYu Niu, Hua Wu, Siqi Bao, Fan Wang, Haifeng Wang
Generative open-domain dialogue systems can benefit from external knowledge, but the lack of external knowledge resources and the difficulty in finding relevant knowledge limit the development of this technology.
no code implementations • 24 May 2022 • Fan Wang, Weiming Liu, Chaochao Chen, Mengying Zhu, Xiaolin Zheng
The ever-increasing data scale of user-item interactions makes it challenging for an effective and efficient recommender system.
no code implementations • 22 May 2022 • Fan Wang, Zhongyi Han, Zhiyan Zhang, Yilong Yin
We then propose minimum happy points learning (MHPL) to actively explore and exploit MH points.
no code implementations • 17 May 2022 • Shanzhuo Zhang, Zhiyuan Yan, Yueyang Huang, Lihang Liu, Donglong He, Wei Wang, Xiaomin Fang, Xiaonan Zhang, Fan Wang, Hua Wu, Haifeng Wang
Additionally, the pre-trained model provided by H-ADMET can be fine-tuned to generate new and customised ADMET endpoints, meeting various demands of drug research and development requirements.
no code implementations • 15 May 2022 • Fan Wang, Adams Wai-Kin Kong
In this paper, we first show that the expected Kendall's rank correlation is positively correlated to cosine similarity and then indicate that the direction of attribution is the key to attribution robustness.
no code implementations • 26 Apr 2022 • Fan Wang
I develop and estimate a dynamic equilibrium model of risky entrepreneurs' borrowing and savings decisions incorporating both formal and local-informal credit markets.
no code implementations • 8 Apr 2022 • Vegard M. Nygaard, Bent E. Sørensen, Fan Wang
A planner allocates discrete transfers of size $D_g$ to $N$ heterogeneous groups labeled $g$ and has CES preferences over the resulting outcomes, $H_g(D_g)$.
no code implementations • 6 Apr 2022 • Can Chen, Jingbo Zhou, Fan Wang, Xue Liu, Dejing Dou
Furthermore, we propose to leverage the available protein language model pretrained on protein sequences to enhance the self-supervised learning.
no code implementations • 6 Apr 2022 • Esteban Puentes, Fan Wang, Jere R. Behrman, Flávio Cunha, John Hoddinott, John A. Maluccio, Linda S. Adair, Judith B. Borja, Reynaldo Martorell, Aryeh D. Stein
We examine effects of protein and energy intakes on height and weight growth for children between 6 and 24 months old in Guatemala and the Philippines.
no code implementations • 5 Apr 2022 • Fan Wang, Esteban Puentes, Jere R. Behrman, Flávio Cunha
We explore the exogenous variation in reference height produced by a protein-supplementation experiment in Guatemala to estimate our model's parameters.
no code implementations • 4 Apr 2022 • Emily Hannum, Fan Wang
Much more than Han youth, ethnic minority youth were negatively affected by closure, in terms of its impact on both educational attainment and written Mandarin facility.
no code implementations • 1 Apr 2022 • Xiaoying Liu, Jere R. Behrman, Emily Hannum, Fan Wang, Qingguo Zhao
This paper investigates whether associations between birth weight and prenatal ambient environmental conditions--pollution and extreme temperatures--differ by 1) maternal education; 2) children's innate health; and 3) interactions between these two.
no code implementations • 31 Mar 2022 • Emily Hannum, Xiaoying Liu, Fan Wang
We estimate the impact of educational infrastructure consolidation on educational attainment using the case of China's rural primary school closure policies in the early 2000s.
1 code implementation • CVPR 2022 • Hansheng Chen, Pichao Wang, Fan Wang, Wei Tian, Lu Xiong, Hao Li
The 2D-3D coordinates and corresponding weights are treated as intermediate variables learned by minimizing the KL divergence between the predicted and target pose distribution.
Ranked #4 on
6D Pose Estimation using RGB
on LineMOD
no code implementations • 18 Mar 2022 • Fan Wang, Tomoyoshi Shimobaba, Takashi Kakue, Tomoyoshi Ito
A controllable energy method, which considers the undersampling issue of the transfer function and valid spectral energy of a source signal, is proposed to implement angular spectrum diffraction calculation in near and far fields.
no code implementations • 12 Mar 2022 • Chunyu Li, Jiajia Ding, Xing Hu, Fan Wang
To fit bag sampling well, after query and document are encoded, the global features of each group are extracted by convolutional layer and max-pooling to improve the model's resistance to the impact of labeling noise, finally, calculate the LCE group-wise loss.
no code implementations • 28 Jan 2022 • Zizhang Wu, Jason Wang, Tianhao Xu, Fan Wang
The owner-member relationship between wheels and vehicles contributes significantly to the 3D perception of vehicles, especially in embedded environments.
no code implementations • 21 Jan 2022 • Pichao Wang, Fan Wang, Hao Li
During the KD process, the TCL loss transfers the local structure, exploits the higher order information, and mitigates the misalignment of the heterogeneous output of teacher and student networks.
no code implementations • 19 Jan 2022 • Jinfei Wang, Yi Ma, Na Yi, Rahim Tafazolli, Fan Wang
Finally, it is shown that the network-ELAA can offer significant coverage extension (50% or more in most of cases) when comparing with the single-AP scenario.
no code implementations • 16 Jan 2022 • Fan Wang, Chaofan Zhang, Fulin Tang, Hongkui Jiang, Yihong Wu, Yong liu
In this paper, we present a novel lightweight object-level mapping and localization method with high accuracy and robustness.
no code implementations • CVPR 2022 • Fan Wang, Zhongyi Han, Yongshun Gong, Yilong Yin
In contrast, we provide a fascinating insight: rather than attempting to learn domain-invariant representations, it is better to explore the domain-invariant parameters of the source model.
1 code implementation • CVPR 2022 • Gang Yang, Man Zhou, Keyu Yan, Aiping Liu, Xueyang Fu, Fan Wang
Pan-sharpening aims to obtain high-resolution multispectral (MS) images for remote sensing systems and deep learning-based methods have achieved remarkable success.
1 code implementation • 28 Dec 2021 • Kai Chen, Weihua Chen, Tao He, Rong Du, Fan Wang, Xiuyu Sun, Yuchen Guo, Guiguang Ding
In TAGPerson, we extract information from target scenes and use them to control our parameterized rendering process to generate target-aware synthetic images, which would hold a smaller gap to the real images in the target domain.
1 code implementation • 23 Dec 2021 • Jingkai Zhou, Pichao Wang, Fan Wang, Qiong Liu, Hao Li, Rong Jin
Self-attention is powerful in modeling long-range dependencies, but it is weak in local finer-level feature learning.
Ranked #29 on
Instance Segmentation
on COCO minival
no code implementations • 23 Dec 2021 • Xin Tian, Xinxian Huang, Dongfeng He, Yingzhan Lin, Siqi Bao, Huang He, Liankai Huang, Qiang Ju, Xiyuan Zhang, Jian Xie, Shuqi Sun, Fan Wang, Hua Wu, Haifeng Wang
Task-oriented dialogue systems have been plagued by the difficulties of obtaining large-scale and high-quality annotated conversations.
1 code implementation • CVPR 2022 • Benjia Zhou, Pichao Wang, Jun Wan, Yanyan Liang, Fan Wang, Du Zhang, Zhen Lei, Hao Li, Rong Jin
Decoupling spatiotemporal representation refers to decomposing the spatial and temporal features into dimension-independent factors.
2 code implementations • 9 Dec 2021 • Yang Xue, Zijing Liu, Xiaomin Fang, Fan Wang
However, neither sequences nor contact maps can fully characterize structures and functions of the proteins, which are closely related to the PPI problem.
1 code implementation • 2 Dec 2021 • Zhaoyuan Yin, Pichao Wang, Fan Wang, Xianzhe Xu, Hanling Zhang, Hao Li, Rong Jin
Unsupervised semantic segmentation aims to obtain high-level semantic representation on low-level visual features without manual annotations.
no code implementations • 30 Nov 2021 • ZhiYuan Chen, Xiaomin Fang, Fan Wang, Xiaotian Fan, Hua Wu, Haifeng Wang
We adopt a pre-trained molecular generative model to map the latent and observation spaces, taking advantage of the large-scale unlabeled molecules to learn chemical knowledge.
1 code implementation • 23 Nov 2021 • Hao Luo, Pichao Wang, Yi Xu, Feng Ding, Yanxin Zhou, Fan Wang, Hao Li, Rong Jin
We first investigate self-supervised learning (SSL) methods with Vision Transformer (ViT) pretrained on unlabelled person images (the LUPerson dataset), and empirically find it significantly surpasses ImageNet supervised pre-training models on ReID tasks.
Ranked #1 on
Unsupervised Person Re-Identification
on Market-1501
(using extra training data)
1 code implementation • 18 Nov 2021 • Zijing Liu, Xianbin Ye, Xiaomin Fang, Fan Wang, Hua Wu, Haifeng Wang
Machine learning shows great potential in virtual screening for drug discovery.
no code implementations • 17 Nov 2021 • Ming Yan, Haiyang Xu, Chenliang Li, Junfeng Tian, Bin Bi, Wei Wang, Weihua Chen, Xianzhe Xu, Fan Wang, Zheng Cao, Zhicheng Zhang, Qiyu Zhang, Ji Zhang, Songfang Huang, Fei Huang, Luo Si, Rong Jin
The Visual Question Answering (VQA) task utilizes both visual image and language analysis to answer a textual question with respect to an image.
1 code implementation • EMNLP (NLP4ConvAI) 2021 • Xin Tian, Liankai Huang, Yingzhan Lin, Siqi Bao, Huang He, Yunyi Yang, Hua Wu, Fan Wang, Shuqi Sun
In this paper, we propose a novel Amendable Generation for Dialogue State Tracking (AG-DST), which contains a two-pass generation process: (1) generating a primitive dialogue state based on the dialogue of the current turn and the previous dialogue state, and (2) amending the primitive dialogue state from the first pass.
Ranked #1 on
Dialogue State Tracking
on Wizard-of-Oz
Dialogue State Tracking
Multi-domain Dialogue State Tracking
+1
no code implementations • 29 Sep 2021 • Fan Wang, Hao Tian, Haoyi Xiong, Hua Wu, Yang Cao, Yu Kang, Haifeng Wang
While artificial neural networks (ANNs) have been widely adopted in machine learning, researchers are increasingly obsessed by the gaps between ANNs and natural neural networks (NNNs).
3 code implementations • 20 Sep 2021 • Siqi Bao, Huang He, Fan Wang, Hua Wu, Haifeng Wang, Wenquan Wu, Zhihua Wu, Zhen Guo, Hua Lu, Xinxian Huang, Xin Tian, Xinchao Xu, Yingzhan Lin, ZhengYu Niu
To explore the limit of dialogue generation pre-training, we present the models of PLATO-XL with up to 11 billion parameters, trained on both Chinese and English social media conversations.
1 code implementation • 14 Sep 2021 • Haojie Shi, Bo Zhou, Hongsheng Zeng, Fan Wang, Yueqiang Dong, Jiangyong Li, Kang Wang, Hao Tian, Max Q. -H. Meng
However, due to the complex nonlinear dynamics in quadrupedal robots and reward sparsity, it is still difficult for RL to learn effective gaits from scratch, especially in challenging tasks such as walking over the balance beam.
1 code implementation • ICLR 2022 • Tongkun Xu, Weihua Chen, Pichao Wang, Fan Wang, Hao Li, Rong Jin
Along with the pseudo labels, a weight-sharing triple-branch transformer framework is proposed to apply self-attention and cross-attention for source/target feature learning and source-target domain alignment, respectively.
Ranked #1 on
Unsupervised Domain Adaptation
on Office-Home
no code implementations • 8 Sep 2021 • Bo Zhou, Kejiao Li, Hongsheng Zeng, Fan Wang, Hao Tian
Combining off-policy reinforcement learning methods with function approximators such as neural networks has been found to lead to overestimation of the value function and sub-optimal solutions.
no code implementations • 8 Sep 2021 • Pichao Wang, Xue Wang, Hao Luo, Jingkai Zhou, Zhipeng Zhou, Fan Wang, Hao Li, Rong Jin
In this paper, we further investigate this problem and extend the above conclusion: only early convolutions do not help for stable training, but the scaled ReLU operation in the \textit{convolutional stem} (\textit{conv-stem}) matters.
no code implementations • 8 Sep 2021 • Fan Wang, Hao Tian, Haoyi Xiong, Hua Wu, Jie Fu, Yang Cao, Yu Kang, Haifeng Wang
In contrast, biological neural networks (BNNs) can adapt to various new tasks by continually updating their connection weights based on their observations, which is aligned with the paradigm of learning effective learning rules in addition to static parameters, e. g., meta-learning.
no code implementations • 23 Aug 2021 • Yiqi Jiang, Weihua Chen, Xiuyu Sun, Xiaoyu Shi, Fan Wang, Hao Li
Recently, GAN based method has demonstrated strong effectiveness in generating augmentation data for person re-identification (ReID), on account of its ability to bridge the gap between domains and enrich the data variety in feature space.
1 code implementation • 21 Jul 2021 • Shuangli Li, Jingbo Zhou, Tong Xu, Liang Huang, Fan Wang, Haoyi Xiong, Weili Huang, Dejing Dou, Hui Xiong
To this end, we propose a structure-aware interactive graph neural network (SIGN) which consists of two components: polar-inspired graph attention layers (PGAL) and pairwise interactive pooling (PiPool).
1 code implementation • 5 Jul 2021 • Yuqi Zhang, Qian Qi, Chong Liu, Weihua Chen, Fan Wang, Hao Li, Rong Jin
In this work, we propose a graph-based re-ranking method to improve learned features while still keeping Euclidean distance as the similarity metric.
no code implementations • 29 Jun 2021 • Bo Zhou, Hongsheng Zeng, Yuecheng Liu, Kejiao Li, Fan Wang, Hao Tian
At the planning stage, the search space is limited to the action set produced by the policy.
no code implementations • 11 Jun 2021 • Xiaomin Fang, Lihang Liu, Jieqiong Lei, Donglong He, Shanzhuo Zhang, Jingbo Zhou, Fan Wang, Hua Wu, Haifeng Wang
Recent advances in graph neural networks (GNNs) have shown great promise in applying GNNs for molecular representation learning.
no code implementations • 28 May 2021 • Pichao Wang, Xue Wang, Fan Wang, Ming Lin, Shuning Chang, Hao Li, Rong Jin
A key component in vision transformers is the fully-connected self-attention which is more powerful than CNNs in modelling long range dependencies.
1 code implementation • 20 May 2021 • Hao Luo, Weihua Chen, Xianzhe Xu, Jianyang Gu, Yuqi Zhang, Chong Liu, Yiqi Jiang, Shuting He, Fan Wang, Hao Li
We mainly focus on four points, i. e. training data, unsupervised domain-adaptive (UDA) training, post-processing, model ensembling in this challenge.
1 code implementation • 14 May 2021 • Chong Liu, Yuqi Zhang, Hao Luo, Jiasheng Tang, Weihua Chen, Xianzhe Xu, Fan Wang, Hao Li, Yi-Dong Shen
Multi-Target Multi-Camera Tracking has a wide range of applications and is the basis for many advanced inferences and predictions.
1 code implementation • 13 May 2021 • Fan Wang, Saarthak Kapse, Steven Liu, Prateek Prasanna, Chao Chen
Characterization of breast parenchyma on dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is a challenging task owing to the complexity of underlying tissue structures.
1 code implementation • 6 May 2021 • Siqi Bao, Bingjin Chen, Huang He, Xin Tian, Han Zhou, Fan Wang, Hua Wu, Haifeng Wang, Wenquan Wu, Yingzhan Lin
In this work, we explore the application of PLATO-2 on various dialogue systems, including open-domain conversation, knowledge grounded dialogue, and task-oriented conversation.
no code implementations • 30 Mar 2021 • Shuning Chang, Pichao Wang, Fan Wang, Hao Li, Jiashi Feng
Temporal action proposal generation (TAPG) is a fundamental and challenging task in video understanding, especially in temporal action detection.
1 code implementation • NA 2021 • Weibin Li, Shanzhuo Zhang, Lihang Liu, Zhengjie Huang, Jieqiong Lei, Xiaomin Fang, Shikun Feng, Fan Wang
As graph neural networks have achieved great success in many domains, some studies apply graph neural networks to molecular property prediction and regard each molecule as a graph.
Ranked #5 on
Graph Property Prediction
on ogbg-molhiv
1 code implementation • 15 Feb 2021 • Weijia Zhang, Hao liu, Fan Wang, Tong Xu, Haoran Xin, Dejing Dou, Hui Xiong
Electric Vehicle (EV) has become a preferable choice in the modern transportation system due to its environmental and energy sustainability.
4 code implementations • ICCV 2021 • Shuting He, Hao Luo, Pichao Wang, Fan Wang, Hao Li, Wei Jiang
Extracting robust feature representation is one of the key challenges in object re-identification (ReID).
Ranked #1 on
Person Re-Identification
on Market-1501-C
1 code implementation • 3 Feb 2021 • Huang He, Hua Lu, Siqi Bao, Fan Wang, Hua Wu, ZhengYu Niu, Haifeng Wang
The Track-1 of DSTC9 aims to effectively answer user requests or questions during task-oriented dialogues, which are out of the scope of APIs/DB.
1 code implementation • 20 Jan 2021 • Fei Du, Bo Xu, Jiasheng Tang, Yuqi Zhang, Fan Wang, Hao Li
We extend the classical tracking-by-detection paradigm to this tracking-any-object task.
Ranked #1 on
Multi-Object Tracking
on TAO
(using extra training data)
no code implementations • 6 Jan 2021 • Fan Wang, Lei Luo, En Zhu, Siwei Wang, Jun Long
Recent Multiple Object Tracking (MOT) methods have gradually attempted to integrate object detection and instance re-identification (Re-ID) into a united network to form a one-stage solution.
1 code implementation • 25 Dec 2020 • Jianyang Gu, Hao Luo, Weihua Chen, Yiqi Jiang, Yuqi Zhang, Shuting He, Fan Wang, Hao Li, Wei Jiang
Considering the large gap between the source domain and target domain, we focused on solving two biases that influenced the performance on domain adaptive pedestrian Re-ID and proposed a two-stage training procedure.
no code implementations • 24 Dec 2020 • Fan Wang, Yongsheng Han, Ziyi He, Dachun Yang
In this article, the authors introduce Besov and Triebel-Lizorkin spaces on spaces of homogeneous type in the sense of Coifman and Weiss, prove that these (in)homogeneous Besov and Triebel-Lizorkin spaces are independent of the choices of both exp-ATIs (or exp-IATIs) and underlying spaces of distributions, and give some basic properties of these spaces.
Functional Analysis Analysis of PDEs Classical Analysis and ODEs Primary 46E35, Secondary 42B25, 42B20, 42B35, 30L99
1 code implementation • 17 Dec 2020 • Jingbo Zhou, Shuangli Li, Liang Huang, Haoyi Xiong, Fan Wang, Tong Xu, Hui Xiong, Dejing Dou
The hierarchical attentive aggregation can capture spatial dependencies among atoms, as well as fuse the position-enhanced information with the capability of discriminating multiple spatial relations among atoms.
no code implementations • 12 Dec 2020 • Chaohao Chen, Baolei Liu, Yongtao Liu, Jiayan Liao, Xuchen Shan, Fan Wang, Dayong Jin
Point spread function (PSF) engineering of the emitter can code higher spatial frequency information of an image to break diffraction limit but suffer from the complexed optical systems.
Optics
no code implementations • 7 Dec 2020 • Fan Wang, Jiangxin Yang, Yanlong Cao, Yanpeng Cao, Michael Ying Yang
Image Super-Resolution (SR) provides a promising technique to enhance the image quality of low-resolution optical sensors, facilitating better-performing target detection and autonomous navigation in a wide range of robotics applications.
no code implementations • 24 Nov 2020 • Fan Wang
Infrared search and tracking (IRST) system has been widely concerned and applied in the area of national defence.
no code implementations • 9 Jul 2020 • Haojie Liu, Ming Lu, Zhan Ma, Fan Wang, Zhihuang Xie, Xun Cao, Yao Wang
Over the past two decades, traditional block-based video coding has made remarkable progress and spawned a series of well-known standards such as MPEG-4, H. 264/AVC and H. 265/HEVC.
2 code implementations • Findings (ACL) 2021 • Siqi Bao, Huang He, Fan Wang, Hua Wu, Haifeng Wang, Wenquan Wu, Zhen Guo, Zhibin Liu, Xinchao Xu
To build a high-quality open-domain chatbot, we introduce the effective training process of PLATO-2 via curriculum learning.
no code implementations • 14 May 2020 • Pingping Lu, Chen Cui, Shaobing Xu, Huei Peng, Fan Wang
AI-based lane detection algorithms were actively studied over the last few years.
no code implementations • 12 May 2020 • Zizhang Wu, Weiwei Sun, Man Wang, Xiaoquan Wang, Lizhu Ding, Fan Wang
\romannumeral2, Expert knowledge for parking slot detection is under-estimated.
2 code implementations • 22 Apr 2020 • Shuting He, Hao Luo, Weihua Chen, Miao Zhang, Yuqi Zhang, Fan Wang, Hao Li, Wei Jiang
Our solution is based on a strong baseline with bag of tricks (BoT-BS) proposed in person ReID.
1 code implementation • 20 Apr 2020 • Fan Wang, Ming Tang
An important objective of designing lithium-ion rechargeable battery cells is to maximize their rate performance without compromising the energy density, which is mainly achieved through computationally expensive numerical simulations at present.
Materials Science Applied Physics
no code implementations • 10 Dec 2019 • Bo Zhou, Hongsheng Zeng, Fan Wang, Yunxiang Li, Hao Tian
By integrating dynamics models into model-free reinforcement learning (RL) methods, model-based value expansion (MVE) algorithms have shown a significant advantage in sample efficiency as well as value estimation.
no code implementations • 6 Nov 2019 • Fan Wang, Xiaomin Fang, Lihang Liu, Hao Tian, Zhiming Peng
The proposed method takes advantage of the characteristics of recommender systems and draws ideas from the model-based reinforcement learning method for higher sample efficiency.
Model-based Reinforcement Learning
Recommendation Systems
+1
3 code implementations • ACL 2020 • Siqi Bao, Huang He, Fan Wang, Hua Wu, Haifeng Wang
Pre-training models have been proved effective for a wide range of natural language processing tasks.
no code implementations • 25 Sep 2019 • Bo Zhou, Fan Wang, Hongsheng Zeng, Hao Tian
A promising direction is to combine model-based reinforcement learning with model-free reinforcement learning, such as model-based value expansion(MVE).
no code implementations • 24 Jul 2019 • Shaodi You, Erqi Huang, Shuaizhe Liang, Yongrong Zheng, Yunxiang Li, Fan Wang, Sen Lin, Qiu Shen, Xun Cao, Diming Zhang, Yuanjiang Li, Yu Li, Ying Fu, Boxin Shi, Feng Lu, Yinqiang Zheng, Robby T. Tan
This document introduces the background and the usage of the Hyperspectral City Dataset and the benchmark.
1 code implementation • 5 Jun 2019 • Chaotao Chen, Jinhua Peng, Fan Wang, Jun Xu, Hua Wu
In this paper, we propose a multi-mapping mechanism to better capture the one-to-many relationship, where multiple mapping modules are employed as latent mechanisms to model the semantic mappings from an input post to its diverse responses.
1 code implementation • ACL 2019 • Siqi Bao, Huang He, Fan Wang, Rongzhong Lian, Hua Wu
In this paper, a novel Generation-Evaluation framework is developed for multi-turn conversations with the objective of letting both participants know more about each other.
1 code implementation • 13 Feb 2019 • Rongzhong Lian, Min Xie, Fan Wang, Jinhua Peng, Hua Wu
Specifically, a posterior distribution over knowledge is inferred from both utterances and responses, and it ensures the appropriate selection of knowledge during the training process.
1 code implementation • 7 Feb 2019 • Łukasz Kidziński, Carmichael Ong, Sharada Prasanna Mohanty, Jennifer Hicks, Sean F. Carroll, Bo Zhou, Hongsheng Zeng, Fan Wang, Rongzhong Lian, Hao Tian, Wojciech Jaśkowski, Garrett Andersen, Odd Rune Lykkebø, Nihat Engin Toklu, Pranav Shyam, Rupesh Kumar Srivastava, Sergey Kolesnikov, Oleksii Hrinchuk, Anton Pechenko, Mattias Ljungström, Zhen Wang, Xu Hu, Zehong Hu, Minghui Qiu, Jun Huang, Aleksei Shpilman, Ivan Sosin, Oleg Svidchenko, Aleksandra Malysheva, Daniel Kudenko, Lance Rane, Aditya Bhatt, Zhengfei Wang, Penghui Qi, Zeyang Yu, Peng Peng, Quan Yuan, Wenxin Li, Yunsheng Tian, Ruihan Yang, Pingchuan Ma, Shauharda Khadka, Somdeb Majumdar, Zach Dwiel, Yinyin Liu, Evren Tumer, Jeremy Watson, Marcel Salathé, Sergey Levine, Scott Delp
In the NeurIPS 2018 Artificial Intelligence for Prosthetics challenge, participants were tasked with building a controller for a musculoskeletal model with a goal of matching a given time-varying velocity vector.
1 code implementation • 1 Feb 2019 • Fan Wang, Xiaomin Fang, Lihang Liu, Yaxue Chen, Jiucheng Tao, Zhiming Peng, Cihang Jin, Hao Tian
On the one hand of this framework, an evaluation model is trained to evaluate the expected overall utility, by fully considering the user, item information and the correlations among the co-exposed items.
no code implementations • 15 Nov 2018 • Fan Wang, Bo Zhou, Ke Chen, Tingxiang Fan, Xi Zhang, Jiangyong Li, Hao Tian, Jia Pan
We built neural networks as our policy to map sensor readings to control signals on the UAV.
1 code implementation • 2 Aug 2018 • Fan Wang, Sach Mukherjee, Sylvia Richardson, Steven M. Hill
Our empirical results complement existing theory and provide a resource to compare methods across a range of scenarios and metrics.
1 code implementation • 3 Apr 2017 • Jinghao Lu, Chunyuan Li, Fan Wang
Miniscope calcium imaging is increasingly being used to monitor large populations of neuronal activities in freely behaving animals.
Neurons and Cognition Quantitative Methods
no code implementations • ICCV 2015 • Hsin-I Chen, Yi-Ling Chen, Wei-Tse Lee, Fan Wang, Bing-Yu Chen
In this paper, an inter-video mapping approach is proposed to integrate video footages from two dashcams installed on a preceding and its following vehicle to provide the illusion that the driver of the following vehicle can see-through the preceding one.
no code implementations • ICCV 2015 • Hao Su, Fan Wang, Eric Yi, Leonidas J. Guibas
Comparing two images from different views has been a long-standing challenging problem in computer vision, as visual features are not stable under large view point changes.
no code implementations • 26 Nov 2014 • Hao Su, Fan Wang, Li Yi, Leonidas Guibas
In this paper, given a single input image of an object, we synthesize new features for other views of the same object.
no code implementations • CVPR 2014 • Fan Wang, Qi-Xing Huang, Maks Ovsjanikov, Leonidas J. Guibas
Joint segmentation of image sets is a challenging problem, especially when there are multiple objects with variable appearance shared among the images in the collection and the set of objects present in each particular image is itself varying and unknown.