no code implementations • CVPR 2013 • Yinghuan Shi, Shu Liao, Yaozong Gao, Daoqiang Zhang, Yang Gao, Dinggang Shen
Specifically, to segment the prostate in the current treatment image, the physician first takes a few seconds to manually specify the first and last slices of the prostate in the image space.
no code implementations • 17 Nov 2013 • Jian-Feng Yan, Jia Zeng, Zhi-Qiang Liu, Yang Gao
Although parallel LDA algorithms on the multi-processor architecture have low time and space complexities, their communication costs among processors often scale linearly with the vocabulary size and the number of topics, leading to a serious scalability problem.
no code implementations • CVPR 2014 • Yinghuan Shi, Heung-Il Suk, Yang Gao, Dinggang Shen
Therefore, it is natural to hypothesize that the low-level features extracted from neuroimaging data are related to each other in some ways.
no code implementations • 21 Aug 2015 • Luowei Zhou, Pei Yang, Chunlin Chen, Yang Gao
In this paper, a novel algorithm named negotiation-based MARL with sparse interactions (NegoSI) is presented.
Multi-agent Reinforcement Learning reinforcement-learning +2
8 code implementations • CVPR 2016 • Yang Gao, Oscar Beijbom, Ning Zhang, Trevor Darrell
Bilinear models has been shown to achieve impressive performance on a wide range of visual tasks, such as semantic segmentation, fine grained recognition and face recognition.
no code implementations • 19 Nov 2015 • Yang Gao, Lisa Anne Hendricks, Katherine J. Kuchenbecker, Trevor Darrell
Robots which interact with the physical world will benefit from a fine-grained tactile understanding of objects and surfaces.
no code implementations • 22 Nov 2015 • Ning Zhang, Evan Shelhamer, Yang Gao, Trevor Darrell
Pose variation and subtle differences in appearance are key challenges to fine-grained classification.
no code implementations • 6 Jan 2016 • Yang Gao, Jianfei Chen, Jun Zhu
Streaming variational Bayes (SVB) is successful in learning LDA models in an online manner.
no code implementations • 29 Sep 2016 • Wenbin Li, Yang Gao, Lei Wang, Luping Zhou, Jing Huo, Yinghuan Shi
To achieve a low computational cost when performing online metric learning for large-scale data, we present a one-pass closed-form solution namely OPML in this paper.
2 code implementations • CVPR 2017 • Huazhe Xu, Yang Gao, Fisher Yu, Trevor Darrell
Robust perception-action models should be learned from training data with diverse visual appearances and realistic behaviors, yet current approaches to deep visuomotor policy learning have been generally limited to in-situ models learned from a single vehicle or a simulation environment.
no code implementations • 21 Feb 2017 • Yang Gao, Hao Wang, Chen Zhang, Wei Wang
Argument component detection (ACD) is an important sub-task in argumentation mining.
no code implementations • 9 Mar 2017 • Jing Huo, Wenbin Li, Yinghuan Shi, Yang Gao, Hujun Yin
In this paper, a new caricature dataset is built, with the objective to facilitate research in caricature recognition.
2 code implementations • ICCV 2017 • Marcel Simon, Yang Gao, Trevor Darrell, Joachim Denzler, Erik Rodner
In this paper, we generalize average and bilinear pooling to "alpha-pooling", allowing for learning the pooling strategy during training.
no code implementations • 5 May 2017 • Mengxue Li, Shiqiang Geng, Yang Gao, Haijing Liu, Hao Wang
Argumentation mining aims at automatically extracting the premises-claim discourse structures in natural language texts.
1 code implementation • 5 May 2017 • Minglan Li, Yang Gao, Hui Wen, Yang Du, Haijing Liu, Hao Wang
Argument Component Boundary Detection (ACBD) is an important sub-task in argumentation mining; it aims at identifying the word sequences that constitute argument components, and is usually considered as the first sub-task in the argumentation mining pipeline.
no code implementations • 18 May 2017 • Pedro F. Proença, Yang Gao
This work proposes a visual odometry method that combines points and plane primitives, extracted from a noisy depth camera.
1 code implementation • 13 Jun 2017 • Pedro F. Proenca, Yang Gao
This work proposes a robust visual odometry method for structured environments that combines point features with line and plane segments, extracted through an RGB-D camera.
no code implementations • CVPR 2017 • Luping Zhou, Lei Wang, Jianjia Zhang, Yinghuan Shi, Yang Gao
The proposed method has been tested on multiple SPD-based visual representation data sets used in the literature, and the results demonstrate its interesting properties and attractive performance.
no code implementations • EMNLP 2017 • Haijing Liu, Yang Gao, Pin Lv, Mengxue Li, Shiqiang Geng, Minglan Li, Hao Wang
We study the helpful product reviews identification problem in this paper.
no code implementations • 1 Aug 2017 • Regis Riveret, Pietro Baroni, Yang Gao, Guido Governatori, Antonino Rotolo, Giovanni Sartor
The combination of argumentation and probability paves the way to new accounts of qualitative and quantitative uncertainty, thereby offering new theoretical and applicative opportunities.
no code implementations • 9 Aug 2017 • Pedro F. Proença, Yang Gao
To address this issue, this paper presents a visual odometry method based on point and line features that leverages both measurements from a depth sensor and depth estimates from camera motion.
no code implementations • 1 Dec 2017 • Wenbo Zhao, Yang Gao, Rita Singh
The goal of this paper is to demonstrate that breath sounds are indeed bio-signatures that can be used to identify speakers.
no code implementations • ICLR 2018 • Yang Gao, Huazhe Xu, Ji Lin, Fisher Yu, Sergey Levine, Trevor Darrell
We propose a unified reinforcement learning algorithm, Normalized Actor-Critic (NAC), that effectively normalizes the Q-function, reducing the Q-values of actions unseen in the demonstration data.
no code implementations • 19 Feb 2018 • Yang Gao, Rita Singh, Bhiksha Raj
In voice impersonation, the resultant voice must convincingly convey the impression of having been naturally produced by the target speaker, mimicking not only the pitch and other perceivable signal qualities, but also the style of the target speaker.
Sound Audio and Speech Processing
no code implementations • 20 Feb 2018 • Yang Gao, Shouyan Guo, Kaimin Huang, Jiaxin Chen, Qian Gong, Yang Zou, Tong Bai, Gary Overett
By selecting better scales in the region proposal input and by combining feature maps through careful design of the convolutional neural network, we improve performance on smaller objects.
2 code implementations • 6 Mar 2018 • Pedro F. Proença, Yang Gao
This paper presents CAPE, a method to extract planes and cylinder segments from organized point clouds, which processes 640x480 depth images on a single CPU core at an average of 300 Hz, by operating on a grid of planar cells.
no code implementations • 11 Apr 2018 • Lei Qi, Jing Huo, Lei Wang, Yinghuan Shi, Yang Gao
Lastly, considering person retrieval is a special image retrieval task, we propose a novel ranking loss to optimize the whole network.
1 code implementation • 17 Apr 2018 • Haodi Hou, Jing Huo, Yang Gao
This makes the proposed framework different from the current work of cross-domain transformation.
no code implementations • 27 Apr 2018 • Qian Yu, Yinghuan Shi, Jinquan Sun, Yang Gao, Yakang Dai, Jianbing Zhu
Due to the irregular motion, similar appearance and diverse shape, accurate segmentation of kidney tumor in CT images is a difficult and challenging task.
1 code implementation • 27 Apr 2018 • Jinquan Sun, Yinghuan Shi, Yang Gao, Lei Wang, Luping Zhou, Wanqi Yang, Dinggang Shen
In this paper, we present a novel method for interactive medical image segmentation with the following merits.
1 code implementation • 15 May 2018 • Wenbin Li, Yanfang Liu, Jing Huo, Yinghuan Shi, Yang Gao, Lei Wang, Jiebo Luo
Furthermore, in a progressively and nonlinearly learning way, MLOML has a stronger learning ability than traditional online metric learning in the case of limited available training data.
no code implementations • 4 Jun 2018 • Jun Feng, Shuming Jiao, Yang Gao, Ting Lei, Xiaocong Yuan
Single-pixel imaging (SPI) has a major drawback that many sequential illuminations are required for capturing one single image with long acquisition time.
1 code implementation • COLING 2018 • Qian Liu, He-Yan Huang, Yang Gao, Xiaochi Wei, Yuxin Tian, Luyang Liu
In this paper, we propose a task-oriented word embedding method and apply it to the text classification task.
Ranked #21 on Text Classification on AG News
1 code implementation • EMNLP 2018 • Yang Gao, Christian M. Meyer, Iryna Gurevych
The merit of preference-based interactive summarisation is that preferences are easier for users to provide than reference summaries.
no code implementations • 1 Nov 2018 • Wenbin Li, Wei Xiong, Haofu Liao, Jing Huo, Yang Gao, Jiebo Luo
Furthermore, an attention mechanism is introduced to encourage our model to focus on the key facial parts so that more vivid details in these regions can be generated.
1 code implementation • 21 Feb 2019 • Yang Gao, Shuming Jiao, Juncheng Fang, Ting Lei, Zhenwei Xie, Xiaocong Yuan
In our proposed scheme, multiple input images can be simultaneously fed to an optical diffractive neural network (DNN) system and each corresponding output image will be displayed in a non-overlap sub-region in the output imaging plane.
no code implementations • 18 Mar 2019 • Wenbo Zhao, Yang Gao, Shahan Ali Memon, Bhiksha Raj, Rita Singh
Addressing these problems, we propose a binary tree-structured hierarchical routing mixture of experts (HRME) model that has classifiers as non-leaf node experts and simple regression models as leaf node experts.
1 code implementation • NAACL 2019 • Yang Gao, Steffen Eger, Ilia Kuznetsov, Iryna Gurevych, Yusuke Miyao
We then focus on the role of the rebuttal phase, and propose a novel task to predict after-rebuttal (i. e., final) scores from initial reviews and author responses.
1 code implementation • CVPR 2019 • Wenbin Li, Lei Wang, Jinglin Xu, Jing Huo, Yang Gao, Jiebo Luo
Its key difference from the literature is the replacement of the image-level feature based measure in the final layer by a local descriptor based image-to-class measure.
no code implementations • 31 Mar 2019 • Xinlei Pan, Daniel Seita, Yang Gao, John Canny
In this paper we introduce risk-averse robust adversarial reinforcement learning (RARARL), using a risk-averse protagonist and a risk-seeking adversary.
no code implementations • ICCV 2019 • Lei Qi, Lei Wang, Jing Huo, Luping Zhou, Yinghuan Shi, Yang Gao
For the first issue, we highlight the presence of camera-level sub-domains as a unique characteristic of person Re-ID, and develop camera-aware domain adaptation to reduce the discrepancy not only between source and target domains but also across these sub-domains.
Ranked #19 on Unsupervised Domain Adaptation on Market to Duke
no code implementations • 9 Apr 2019 • Shan Chen, Weiguo Dai, Yuanxi Dai, Hao Fu, Yang Gao, Jianqi Guo, Haoqing He, Yuhong Liu
This paper presents Thinkey, an efficient, secure, infinitely scalable and decentralized blockchain architecture.
Cryptography and Security
1 code implementation • NAACL 2019 • Ori Shapira, David Gabay, Yang Gao, Hadar Ronen, Ramakanth Pasunuru, Mohit Bansal, Yael Amsterdamer, Ido Dagan
Conducting a manual evaluation is considered an essential part of summary evaluation methodology.
1 code implementation • 22 Apr 2019 • Yang Gao, Hong Yang, Peng Zhang, Chuan Zhou, Yue Hu
On node classification tasks, GraphNAS can design a novel network architecture that rivals the best human-invented architecture in terms of test set accuracy.
Ranked #13 on Node Classification on PPI
no code implementations • 24 Apr 2019 • Shuming Jiao, Jun Feng, Yang Gao, Ting Lei, Zhenwei Xie, Xiaocong Yuan
Like an optical computer, the system can perform machine learning tasks such as number digit recognition in an all-optical manner.
no code implementations • 31 May 2019 • Shuming Jiao, Yang Gao, Ting Lei, Zhenwei Xie, Xiaocong Yuan
In many previous works, a single-pixel imaging (SPI) system is constructed as an optical image encryption system.
1 code implementation • 7 Jun 2019 • Yang Gao, Christian M. Meyer, Iryna Gurevych
Interactive NLP is a promising paradigm to close the gap between automatic NLP systems and the human upper bound.
3 code implementations • CVPR 2020 • Ning Wang, Yang Gao, Hao Chen, Peng Wang, Zhi Tian, Chunhua Shen, Yanning Zhang
The success of deep neural networks relies on significant architecture engineering.
Ranked #113 on Object Detection on COCO test-dev
1 code implementation • 9 Jul 2019 • Pedro F. Proenca, Yang Gao
On-orbit proximity operations in space rendezvous, docking and debris removal require precise and robust 6D pose estimation under a wide range of lighting conditions and against highly textured background, i. e., the Earth.
1 code implementation • ICLR 2020 • Weixun Wang, Tianpei Yang, Yong liu, Jianye Hao, Xiaotian Hao, Yujing Hu, Yingfeng Chen, Changjie Fan, Yang Gao
ASN characterizes different actions' influence on other agents using neural networks based on the action semantics between them.
1 code implementation • 30 Jul 2019 • Yang Gao, Christian M. Meyer, Mohsen Mesgar, Iryna Gurevych
The predominant RL paradigm for summarisation learns a cross-input policy, which requires considerable time, data and parameter tuning due to the huge search spaces and the delayed rewards.
no code implementations • 2 Aug 2019 • Lei Qi, Lei Wang, Jing Huo, Yinghuan Shi, Xin Geng, Yang Gao
To achieve the camera alignment, we develop a Multi-Camera Adversarial Learning (MCAL) to map images of different cameras into a shared subspace.
no code implementations • 14 Aug 2019 • Lei Qi, Lei Wang, Jing Huo, Yinghuan Shi, Yang Gao
Moreover, in the training process, we adopt the joint learning scheme to simultaneously train each branch by the independent loss function, which can enhance the generalization ability of each branch.
no code implementations • 15 Aug 2019 • Lei Qi, Lei Wang, Jing Huo, Yinghuan Shi, Yang Gao
In this paper, we focus on the semi-supervised person re-identification (Re-ID) case, which only has the intra-camera (within-camera) labels but not inter-camera (cross-camera) labels.
2 code implementations • IJCNLP 2019 • Florian Böhm, Yang Gao, Christian M. Meyer, Ori Shapira, Ido Dagan, Iryna Gurevych
Human evaluation experiments show that, compared to the state-of-the-art supervised-learning systems and ROUGE-as-rewards RL summarisation systems, the RL systems using our learned rewards during training generate summarieswith higher human ratings.
4 code implementations • IJCNLP 2019 • Wei Zhao, Maxime Peyrard, Fei Liu, Yang Gao, Christian M. Meyer, Steffen Eger
A robust evaluation metric has a profound impact on the development of text generation systems.
no code implementations • 6 Sep 2019 • Weixun Wang, Tianpei Yang, Yong liu, Jianye Hao, Xiaotian Hao, Yujing Hu, Yingfeng Chen, Changjie Fan, Yang Gao
In this paper, we design a novel Dynamic Multiagent Curriculum Learning (DyMA-CL) to solve large-scale problems by starting from learning on a multiagent scenario with a small size and progressively increasing the number of agents.
no code implementations • 25 Sep 2019 • Yu Lin, Yigong Wang, YiFan Li, Zhuoyi Wang, Yang Gao, Latifur Khan
To tackle this problem, we propose a GuideGAN based on attention mechanism.
Generative Adversarial Network Image-to-Image Translation +1
no code implementations • 25 Sep 2019 • Huazhe Xu, Boyuan Chen, Yang Gao, Trevor Darrell
In this paper, we propose Scoring-Aggregating-Planning (SAP), a framework that can learn task-agnostic semantics and dynamics priors from arbitrary quality interactions as well as the corresponding sparse rewards and then plan on unseen tasks in zero-shot condition.
1 code implementation • 17 Oct 2019 • Huazhe Xu, Boyuan Chen, Yang Gao, Trevor Darrell
The agent is first presented with previous experiences in the training environment, along with task description in the form of trajectory-level sparse rewards.
1 code implementation • 18 Oct 2019 • Yinghuan Shi, Tiexin Qin, Yong liu, Jiwen Lu, Yang Gao, Dinggang Shen
By introducing an unified optimization goal, DeepAugNet intends to combine the data augmentation and the deep model training in an end-to-end training manner which is realized by simultaneously training a hybrid architecture of dueling deep Q-learning algorithm and a surrogate deep model.
no code implementations • 24 Oct 2019 • Shuming Jiao, Dongfang Zhang, Chonglei Zhang, Yang Gao, Ting Lei, Xiaocong Yuan
A digital micromirror device (DMD) is an amplitude-type spatial light modulator.
no code implementations • 31 Oct 2019 • Shuming Jiao, Yang Gao, Jun Feng, Ting Lei, Xiaocong Yuan
Despite the success, the limitations and drawbacks of deep learning in optical imaging have been seldom investigated.
no code implementations • 12 Nov 2019 • Shuming Jiao, Jun Feng, Yang Gao, Ting Lei, Xiaocong Yuan
The secret image can be recovered when identical illumination patterns are projected onto multiple visual key images and a single detector is used to record the total light intensities.
1 code implementation • 16 Nov 2019 • Wenbin Li, Lei Wang, Xingxing Zhang, Lei Qi, Jing Huo, Yang Gao, Jiebo Luo
(2) how to narrow the distribution gap between clean and adversarial examples under the few-shot setting?
1 code implementation • 22 Nov 2019 • Edwin Simpson, Yang Gao, Iryna Gurevych
For many NLP applications, such as question answering and summarisation, the goal is to select the best solution from a large space of candidates to meet a particular user's needs.
no code implementations • 23 Nov 2019 • Pinzhuo Tian, Zhangkai Wu, Lei Qi, Lei Wang, Yinghuan Shi, Yang Gao
To address the annotation scarcity issue in some cases of semantic segmentation, there have been a few attempts to develop the segmentation model in the few-shot learning paradigm.
no code implementations • 25 Nov 2019 • Yong Liu, Weixun Wang, Yujing Hu, Jianye Hao, Xingguo Chen, Yang Gao
Traditional methods attempt to use pre-defined rules to capture the interaction relationship between agents.
no code implementations • 7 Jan 2020 • Haodi Hou, Jing Huo, Jing Wu, Yu-Kun Lai, Yang Gao
Given an input face photo, the goal of caricature generation is to produce stylized, exaggerated caricatures that share the same identity as the photo.
no code implementations • 1 Feb 2020 • Wenbin Li, Lei Wang, Jing Huo, Yinghuan Shi, Yang Gao, Jiebo Luo
Given the natural asymmetric relation between a query image and a support class, we argue that an asymmetric measure is more suitable for metric-based few-shot learning.
no code implementations • 5 Feb 2020 • Rui Zhao, Yang Gao, Pieter Abbeel, Volker Tresp, Wei Xu
In reinforcement learning, an agent learns to reach a set of goals by means of an external reward signal.
no code implementations • 22 Feb 2020 • Tiexin Qin, Ziyuan Wang, Kelei He, Yinghuan Shi, Yang Gao, Dinggang Shen
Conventional data augmentation realized by performing simple pre-processing operations (\eg, rotation, crop, \etc) has been validated for its advantage in enhancing the performance for medical image segmentation.
no code implementations • 3 Mar 2020 • Yang Gao, Tao Li, Liaofu Luo
It is found that there exist three types of virus mutations, namely, the mutation among sub-branches of the same branch, the off-root mutation and the root-oriented mutation between large branches of the tree.
no code implementations • 25 Mar 2020 • Yang Gao, Yi-Fan Li, Yu Lin, Hang Gao, Latifur Khan
Recent advances in research have demonstrated the effectiveness of knowledge graphs (KG) in providing valuable external knowledge to improve recommendation systems (RS).
1 code implementation • 27 Mar 2020 • Jian Zhang, Lei Qi, Yinghuan Shi, Yang Gao
Semantic segmentation in a supervised learning manner has achieved significant progress in recent years.
no code implementations • 3 Apr 2020 • Qian Yu, Yinghuan Shi, Yefeng Zheng, Yang Gao, Jianbing Zhu, Yakang Dai
Robust segmentation for non-elongated tissues in medical images is hard to realize due to the large variation of the shape, size, and appearance of these tissues in different patients.
1 code implementation • 13 Apr 2020 • Tiexin Qin, Wenbin Li, Yinghuan Shi, Yang Gao
Importantly, we highlight the value and importance of the distribution diversity in the augmentation-based pretext few-shot tasks, which can effectively alleviate the overfitting problem and make the few-shot model learn more robust feature representations.
Data Augmentation Unsupervised Few-Shot Image Classification +1
1 code implementation • 14 Apr 2020 • Yang Gao, Xuanyu Zhu, Stuart Crozier, Feng Liu, Hongfu Sun
Quantitative susceptibility mapping (QSM) is a valuable magnetic resonance imaging (MRI) contrast mechanism that has demonstrated broad clinical applications.
Image and Video Processing
1 code implementation • ACL 2020 • Wei Zhao, Goran Glavaš, Maxime Peyrard, Yang Gao, Robert West, Steffen Eger
We systematically investigate a range of metrics based on state-of-the-art cross-lingual semantic representations obtained with pretrained M-BERT and LASER.
1 code implementation • ACL 2020 • Yang Gao, Wei Zhao, Steffen Eger
Compared to the state-of-the-art unsupervised evaluation metrics, SUPERT correlates better with human ratings by 18-39%.
no code implementations • 8 May 2020 • Kelei He, Wei Zhao, Xingzhi Xie, Wen Ji, Mingxia Liu, Zhenyu Tang, Feng Shi, Yang Gao, Jun Liu, Junfeng Zhang, Dinggang Shen
Considering that only a few infection regions in a CT image are related to the severity assessment, we first represent each input image by a bag that contains a set of 2D image patches (with each cropped from a specific slice).
no code implementations • 15 May 2020 • Kelei He, Chunfeng Lian, Ehsan Adeli, Jing Huo, Yang Gao, Bing Zhang, Junfeng Zhang, Dinggang Shen
Therefore, the proposed network has a dual-branch architecture that tackles two tasks: 1) a segmentation sub-network aiming to generate the prostate segmentation, and 2) a voxel-metric learning sub-network aiming to improve the quality of the learned feature space supervised by a metric loss.
no code implementations • 21 May 2020 • Kelei He, Chunfeng Lian, Bing Zhang, Xin Zhang, Xiaohuan Cao, Dong Nie, Yang Gao, Junfeng Zhang, Dinggang Shen
In this paper, we tackle the challenging task of prostate segmentation in CT images by a two-stage network with 1) the first stage to fast localize, and 2) the second stage to accurately segment the prostate.
1 code implementation • ICCV 2021 • Jing Huo, Shiyin Jin, Wenbin Li, Jing Wu, Yu-Kun Lai, Yinghuan Shi, Yang Gao
In this paper, we make a new assumption that image features from the same semantic region form a manifold and an image with multiple semantic regions follows a multi-manifold distribution.
1 code implementation • ECCV 2020 • Wen Ji, Kelei He, Jing Huo, Zheng Gu, Yang Gao
The implementation of the proposed method is available at https://github. com/KeleiHe/DAAN.
no code implementations • 31 Jul 2020 • Yinghuan Shi, Wanqi Yang, Kim-Han Thung, Hao Wang, Yang Gao, Yang Pan, Li Zhang, Dinggang Shen
Then, we build a novel computer-aided prescription model by learning the relation between observed symptoms and prescription drug.
no code implementations • 7 Sep 2020 • Sicheng Zhao, Yezhen Wang, Bo Li, Bichen Wu, Yang Gao, Pengfei Xu, Trevor Darrell, Kurt Keutzer
They require prior knowledge of real-world statistics and ignore the pixel-level dropout noise gap and the spatial feature gap between different domains.
no code implementations • 11 Sep 2020 • Nicolo Colombo, Yang Gao
To find the optimal weight-agnostic network, we use a novel and computationally efficient method that translates the hard architecture-search problem into a feasible optimization problem. More specifically, we look at the optimal task-specific architectures as the optimal configuration of binary networks with {0, 1}-valued weights, which can be found through an approximate gradient descent strategy.
2 code implementations • 1 Oct 2020 • Zheng Gu, Chuanqi Dong, Jing Huo, Wenbin Li, Yang Gao
Previous caricature generation methods are obsessed with predicting definite image warping from a given photo while ignoring the intrinsic representation and distribution for exaggerations in caricatures.
no code implementations • NeurIPS 2020 • Chuan Wen, Jierui Lin, Trevor Darrell, Dinesh Jayaraman, Yang Gao
Imitation learning trains policies to map from input observations to the actions that an expert would choose.
no code implementations • 22 Dec 2020 • Cesar Bartolo-Perez, Wayesh Qarony, Soroush Ghandiparsi, Ahmed S. Mayet, Ahasan Ahamed, Hilal Cansizoglu, Yang Gao, Ekaterina Ponizovskaya Devine, Toshishige Yamada, Aly F Elrefaie, Shih-Yuan Wang, M. Saif Islam
Photon trapping structures address this trade-off by enhancing the light-matter interactions, but maximizing their performance remains a challenge due to a multitude of factors influencing their design and fabrication.
Optics Applied Physics
1 code implementation • ICLR 2021 • Xuanlin Li, Brandon Trabucco, Dong Huk Park, Michael Luo, Sheng Shen, Trevor Darrell, Yang Gao
One strategy to recover this information is to decode both the content and location of tokens.
1 code implementation • ICCV 2021 • Zheng Gu, Wenbin Li, Jing Huo, Lei Wang, Yang Gao
Given only a few available images for a novel unseen category, few-shot image generation aims to generate more data for this category.
no code implementations • 1 Jan 2021 • Thanard Kurutach, Julia Peng, Yang Gao, Stuart Russell, Pieter Abbeel
Discrete representations have been key in enabling robots to plan at more abstract levels and solve temporally-extended tasks more efficiently for decades.
2 code implementations • NeurIPS 2021 • Wenling Shang, Xiaofei Wang, Aravind Srinivas, Aravind Rajeswaran, Yang Gao, Pieter Abbeel, Michael Laskin
Temporal information is essential to learning effective policies with Reinforcement Learning (RL).
no code implementations • 18 Jan 2021 • Xiaoting Han, Lei Qi, Qian Yu, Ziqi Zhou, Yefeng Zheng, Yinghuan Shi, Yang Gao
These typical methods usually utilize a translation network to transform images from the source domain to target domain or train the pixel-level classifier merely using translated source images and original target images.
no code implementations • 7 Feb 2021 • Zekun Li, Wei Zhao, Feng Shi, Lei Qi, Xingzhi Xie, Ying WEI, Zhongxiang Ding, Yang Gao, Shangjie Wu, Jun Liu, Yinghuan Shi, Dinggang Shen
How to fast and accurately assess the severity level of COVID-19 is an essential problem, when millions of people are suffering from the pandemic around the world.
no code implementations • 10 Mar 2021 • Bernie Wang, Simon Xu, Kurt Keutzer, Yang Gao, Bichen Wu
To address this, we propose a novel self-supervised learning task, which we named Trajectory Contrastive Learning (TCL), to improve meta-training.
2 code implementations • ICLR 2021 • Rui Zhao, Yang Gao, Pieter Abbeel, Volker Tresp, Wei Xu
Reinforcement learning has been shown to be highly successful at many challenging tasks.
1 code implementation • 17 Mar 2021 • Yang Gao, Martijn Cloos, Feng Liu, Stuart Crozier, G. Bruce Pike, Hongfu Sun
In this study, a learning-based Deep Complex Residual Network (DCRNet) is proposed to recover both the magnitude and phase images from incoherently undersampled data, enabling high acceleration of QSM acquisition.
1 code implementation • 23 Mar 2021 • Zhicheng Zhou, Cheng Zhao, Daniel Adolfsson, Songzhi Su, Yang Gao, Tom Duckett, Li Sun
Benefiting from the NDT representation and NDT-Transformer network, the learned global descriptors are enriched with both geometrical and contextual information.
1 code implementation • ICCV 2021 • Lihe Yang, Wei Zhuo, Lei Qi, Yinghuan Shi, Yang Gao
Our method aims to alleviate this problem and enhance the feature embedding on latent novel classes.
Ranked #41 on Few-Shot Semantic Segmentation on PASCAL-5i (5-Shot)
1 code implementation • CVPR 2021 • Xiangyu Yue, Zangwei Zheng, Shanghang Zhang, Yang Gao, Trevor Darrell, Kurt Keutzer, Alberto Sangiovanni Vincentelli
In this paper, we propose an end-to-end Prototypical Cross-domain Self-Supervised Learning (PCS) framework for Few-shot Unsupervised Domain Adaptation (FUDA).
Ranked #6 on Semantic Segmentation on DensePASS
no code implementations • 3 Apr 2021 • Yang Gao, Yi-Fan Li, Swarup Chandra, Latifur Khan, Bhavani Thuraisingham
In this paper, we present a new online metric learning framework that attempts to tackle the challenge by learning an ANN-based metric with adaptive model complexity from a stream of constraints.
no code implementations • EMNLP 2020 • Yang Gao, Yi-Fan Li, Yu Lin, Charu Aggarwal, Latifur Khan
For many real-world classification problems, e. g., sentiment classification, most existing machine learning methods are biased towards the majority class when the Imbalance Ratio (IR) is high.
no code implementations • 4 Apr 2021 • Marco Visca, Arthur Bouton, Roger Powell, Yang Gao, Saber Fallah
Driving energy consumption plays a major role in the navigation of mobile robots in challenging environments, especially if they are left to operate unattended under limited on-board power.
no code implementations • 30 Apr 2021 • Weidong Lin, Yuyan Deng, Yang Gao, Ning Wang, Jinghao Zhou, Lingqiao Liu, Lei Zhang, Peng Wang
Given a query patch from a novel class, one-shot object detection aims to detect all instances of that class in a target image through the semantic similarity comparison.
no code implementations • Pattern Recognition 2021 • Hongwei Huang 1, Zhangkai Wu 1, Wenbin Li 2, Jing Huo 2, ∗, Yang Gao
Prototype-based few-shot learning methods are promising in that they are simple yet effective to handle any-shot problems, and many prototype associated works are raised since then.
1 code implementation • 7 May 2021 • Yang Gao, Nicolo Colombo, Wei Wang
Adapting pre-trained neural models to downstream tasks has become the standard practice for obtaining high-quality models.
no code implementations • 12 May 2021 • Bhargav Pulugundla, Yang Gao, Brian King, Gokce Keskin, Harish Mallidi, Minhua Wu, Jasha Droppo, Roland Maas
The end-to-end 2D Conv-Attention model is compared with a multi-head self-attention and superdirective-based neural beamformers.
1 code implementation • 17 May 2021 • Kelei He, Wen Ji, Tao Zhou, Zhuoyuan Li, Jing Huo, Xin Zhang, Yang Gao, Dinggang Shen, Bing Zhang, Junfeng Zhang
Specifically, a bidirectional image synthesis and segmentation module is proposed to segment the brain tumor using the intermediate data distributions generated for the two domains, which includes an image-to-image translator and a shared-weighted segmentation network.
1 code implementation • 23 May 2021 • Marco Visca, Sampo Kuutti, Roger Powell, Yang Gao, Saber Fallah
Terrain traversability analysis plays a major role in ensuring safe robotic navigation in unstructured environments.
1 code implementation • ACL 2021 • Yu Bai, Yang Gao, Heyan Huang
Employing one unified decoder to generate the sequential concatenation of monolingual and cross-lingual summaries, MCLAS makes the monolingual summarization task a prerequisite of the cross-lingual summarization (CLS) task.
Abstractive Text Summarization Cross-Lingual Abstractive Summarization +1
no code implementations • 1 Jun 2021 • Xuanyu Zhu, Yang Gao, Feng Liu, Stuart Crozier, Hongfu Sun
Method: A recently proposed deep learning-based QSM method, namely xQSM, is investigated to assess the accuracy of dipole inversion on reduced brain coverages.
no code implementations • Findings (ACL) 2021 • Mucheng Ren, Heyan Huang, Yang Gao
Qualitative relationships illustrate how changing one property (e. g., moving velocity) affects another (e. g., kinetic energy) and constitutes a considerable portion of textual knowledge.
no code implementations • 4 Jun 2021 • Gokce Keskin, Minhua Wu, Brian King, Harish Mallidi, Yang Gao, Jasha Droppo, Ariya Rastrow, Roland Maas
An ASR model that operates on both primary and auxiliary data can achieve better accuracy compared to a primary-only solution; and a model that can serve both primary-only (PO) and primary-plus-auxiliary (PPA) modes is highly desirable.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +1
no code implementations • 6 Jun 2021 • Yue Wang, Lei Qi, Yinghuan Shi, Yang Gao
As a recent noticeable topic, domain generalization (DG) aims to first learn a generic model on multiple source domains and then directly generalize to an arbitrary unseen target domain without any additional adaption.
1 code implementation • CVPR 2022 • Lihe Yang, Wei Zhuo, Lei Qi, Yinghuan Shi, Yang Gao
In this work, we first construct a strong baseline of self-training (namely ST) for semi-supervised semantic segmentation via injecting strong data augmentations (SDA) on unlabeled images to alleviate overfitting noisy labels as well as decouple similar predictions between the teacher and student.
no code implementations • 11 Jun 2021 • Chuan Wen, Jierui Lin, Jianing Qian, Yang Gao, Dinesh Jayaraman
Imitation learning trains control policies by mimicking pre-recorded expert demonstrations.
no code implementations • 7 Jul 2021 • Nicolo Colombo, Yang Gao
We propose a new gradient-based approach for extracting sub-architectures from a given large model.
1 code implementation • 22 Jul 2021 • Wenbin Li, Xuesong Yang, Meihao Kong, Lei Wang, Jing Huo, Yang Gao, Jiebo Luo
However, in small data regimes, we can not obtain a sufficient number of negative pairs or effectively avoid the over-fitting problem when negatives are not used at all.
1 code implementation • 24 Jul 2021 • Qian Yu, Lei Qi, Luping Zhou, Lei Wang, Yilong Yin, Yinghuan Shi, Wuzhang Wang, Yang Gao
Together, the above two schemes give rise to a novel double-branch encoder segmentation framework for medical image segmentation, namely Crosslink-Net.
no code implementations • ACL 2021 • Piyawat Lertvittayakumjorn, Ivan Petej, Yang Gao, Yamuna Krishnamurthy, Anna Van Der Gaag, Robert Jago, Kostas Stathis
Health professional regulators aim to protect the health and well-being of patients and the public by setting standards for scrutinising and overseeing the training and conduct of health and care professionals.
1 code implementation • 10 Sep 2021 • Wenbin Li, Ziyi, Wang, Xuesong Yang, Chuanqi Dong, Pinzhuo Tian, Tiexin Qin, Jing Huo, Yinghuan Shi, Lei Wang, Yang Gao, Jiebo Luo
Furthermore, based on LibFewShot, we provide comprehensive evaluations on multiple benchmarks with various backbone architectures to evaluate common pitfalls and effects of different training tricks.
1 code implementation • EMNLP 2021 • Yuxiang Zhou, Lejian Liao, Yang Gao, Zhanming Jie, Wei Lu
Dependency parse trees are helpful for discovering the opinion words in aspect-based sentiment analysis (ABSA).
Aspect-Based Sentiment Analysis Aspect-Based Sentiment Analysis (ABSA)
no code implementations • 29 Sep 2021 • Chuan Wen, Jianing Qian, Jierui Lin, Dinesh Jayaraman, Yang Gao
When operating in partially observed settings, it is important for a control policy to fuse information from a history of observations.
no code implementations • 29 Sep 2021 • Changbin Shao, Wenbin Li, ZhenHua Feng, Jing Huo, Yang Gao
To boost the robustness of a model against adversarial examples, adversarial training has been regarded as a benchmark method.
no code implementations • 29 Sep 2021 • Jinkun Cao, Qing Yang, Jialei Huang, Yang Gao
In this paper, we explored the possibility of using contrastive methods to learn a disentangled representation, a discriminative approach that is drastically different from previous approaches.
no code implementations • 29 Sep 2021 • Kaifeng Zhang, Rui Zhao, Ziming Zhang, Yang Gao
Reinforcement learning (RL) provides a powerful framework for decision-making, but its application in practice often requires a carefully designed reward function.
1 code implementation • EMNLP (Eval4NLP) 2021 • Marina Fomicheva, Piyawat Lertvittayakumjorn, Wei Zhao, Steffen Eger, Yang Gao
In this paper, we introduce the Eval4NLP-2021shared task on explainable quality estimation.
no code implementations • 10 Oct 2021 • Ruiqi Wang, Lei Qi, Yinghuan Shi, Yang Gao
Also, considering inconsistent goals between generalization and pseudo-labeling: former prevents overfitting on all source domains while latter might overfit the unlabeled source domains for high accuracy, we employ a dual-classifier to independently perform pseudo-labeling and domain generalization in the training process.
1 code implementation • 15 Oct 2021 • Yu Bai, Heyan Huang, Kai Fan, Yang Gao, Yiming Zhu, Jiaao Zhan, Zewen Chi, Boxing Chen
Through introducing compression rate, the information ratio between the source and the target text, we regard the MT task as a special CLS task with a compression rate of 100%.
1 code implementation • 17 Oct 2021 • Yinghuan Shi, Jian Zhang, Tong Ling, Jiwen Lu, Yefeng Zheng, Qian Yu, Lei Qi, Yang Gao
In semi-supervised medical image segmentation, most previous works draw on the common assumption that higher entropy means higher uncertainty.
1 code implementation • 24 Oct 2021 • Ning Wang, Yang Gao, Hao Chen, Peng Wang, Zhi Tian, Chunhua Shen, Yanning Zhang
Neural Architecture Search (NAS) has shown great potential in effectively reducing manual effort in network design by automatically discovering optimal architectures.
1 code implementation • 27 Oct 2021 • Xuanlin Li, Brandon Trabucco, Dong Huk Park, Michael Luo, Sheng Shen, Trevor Darrell, Yang Gao
Permutations then serve as target generation orders for training an insertion-based Transformer language model.
3 code implementations • NeurIPS 2021 • Weirui Ye, Shaohuai Liu, Thanard Kurutach, Pieter Abbeel, Yang Gao
Recently, there has been significant progress in sample efficient image-based RL algorithms; however, consistent human-level performance on the Atari game benchmark remains an elusive goal.
Ranked #2 on Atari Games 100k on Atari 100k
2 code implementations • 15 Nov 2021 • Yang Gao, Zhuang Xiong, Amir Fazlollahi, Peter J Nestor, Viktor Vegh, Fatima Nasrallah, Craig Winter, G. Bruce Pike, Stuart Crozier, Feng Liu, Hongfu Sun
In addition, experiments on patients with intracranial hemorrhage and multiple sclerosis were also performed to test the generalization of the novel neural networks.
2 code implementations • NeurIPS 2021 • Lulu Zheng, Jiarui Chen, Jianhao Wang, Jiamin He, Yujing Hu, Yingfeng Chen, Changjie Fan, Yang Gao, Chongjie Zhang
Efficient exploration in deep cooperative multi-agent reinforcement learning (MARL) still remains challenging in complex coordination problems.
1 code implementation • 7 Dec 2021 • Jintao Guo, Lei Qi, Yinghuan Shi, Yang Gao
Particularly, the proposed method can generate a variety of data variants to better deal with the overfitting issue.
2 code implementations • 22 Dec 2021 • Rui Zhao, Jinming Song, Yufeng Yuan, Hu Haifeng, Yang Gao, Yi Wu, Zhongqian Sun, Yang Wei
We study the problem of training a Reinforcement Learning (RL) agent that is collaborative with humans without using any human data.
1 code implementation • 23 Dec 2021 • Jian Zhang, Lei Qi, Yinghuan Shi, Yang Gao
Beyond the training stage, overfitting could also cause unstable prediction in the test stage.
no code implementations • 22 Jan 2022 • Guang Yang, Xingguo Chen, Shangdong Yang, Huihui Wang, Shaokang Dong, Yang Gao
Moreover, in learning sparse representations, attention mechanisms are utilized to represent the degree of sparsification, and a smooth attentive function is introduced into the kernel-based VFA.
no code implementations • 24 Feb 2022 • Kelei He, Chen Gan, Zhuoyuan Li, Islem Rekik, Zihao Yin, Wen Ji, Yang Gao, Qian Wang, Junfeng Zhang, Dinggang Shen
Transformers have dominated the field of natural language processing, and recently impacted the computer vision area.
no code implementations • 2 Mar 2022 • Xiao Liu, Shuyang Liu, Wenbin Li, Shangdong Yang, Yang Gao
Although deep reinforcement learning has become a universal solution for complex control tasks, its real-world applicability is still limited because lacking security guarantees for policies.
no code implementations • 11 Mar 2022 • Linjian Meng, Yang Gao
In this paper, we propose a generalized framework for this learning setting.
no code implementations • 17 Mar 2022 • Jiawei Li, Mucheng Ren, Yang Gao, Yizhe Yang
Specifically, we carefully design an end-to-end QG module on the basis of a classical QA module, which could help the model understand the context by asking inherently logical sub-questions, thus inheriting interpretability from the QD-based method and showing superior performance.
1 code implementation • 17 Mar 2022 • Renhao Wang, Hang Zhao, Yang Gao
Many recent approaches in contrastive learning have worked to close the gap between pretraining on iconic images like ImageNet and pretraining on complex scenes like COCO.
1 code implementation • 21 Mar 2022 • Christoph Leiter, Piyawat Lertvittayakumjorn, Marina Fomicheva, Wei Zhao, Yang Gao, Steffen Eger
We also provide a synthesizing overview over recent approaches for explainable machine translation metrics and discuss how they relate to those goals and properties.
1 code implementation • CCL 2022 • Mucheng Ren, Heyan Huang, Yuxiang Zhou, Qianwen Cao, Yuan Bu, Yang Gao
Therefore, in this paper, we focus on the core task of the TCM diagnosis and treatment system -- syndrome differentiation (SD) -- and we introduce the first public large-scale dataset for SD, called TCM-SD.
no code implementations • 25 Mar 2022 • Meihao Kong, Jing Huo, Wenbin Li, Jing Wu, Yu-Kun Lai, Yang Gao
(2) Using iterative magnitude pruning, we find the matching subnetworks at 89. 2% sparsity in AdaIN and 73. 7% sparsity in SANet, which demonstrates that style transfer models can play lottery tickets too.
3 code implementations • 27 Mar 2022 • Yue Duan, Zhen Zhao, Lei Qi, Lei Wang, Luping Zhou, Yinghuan Shi, Yang Gao
The core issue in semi-supervised learning (SSL) lies in how to effectively leverage unlabeled data, whereas most existing methods tend to put a great emphasis on the utilization of high-confidence samples yet seldom fully explore the usage of low-confidence samples.
1 code implementation • 30 Mar 2022 • Jiaao Zhan, Qian Chen, Boxing Chen, Wen Wang, Yu Bai, Yang Gao
We propose a novel and general Dependency-Aware Decoder (DePA) to enhance target dependency modeling in the decoder of fully NAT models from two perspectives: decoder self-attention and decoder input.
1 code implementation • 6 Apr 2022 • Xuanyu Zhu, Yang Gao, Feng Liu, Stuart Crozier, Hongfu Sun
The BFRnet method is compared with three conventional BFR methods and one previous deep learning method using simulated and in vivo brains from 4 healthy and 2 hemorrhagic subjects.
no code implementations • COLING 2022 • Xiaochen Liu, Yang Gao, Yu Bai, Jiawei Li, Yinan Hu, Heyan Huang, Boxing Chen
Few-shot abstractive summarization has become a challenging task in natural language generation.
no code implementations • 11 Apr 2022 • Ankit Shah, Hira Dhamyal, Yang Gao, Daniel Arancibia, Mario Arancibia, Bhiksha Raj, Rita Singh
Lately, there has been a global effort by multiple research groups to detect COVID-19 from voice.
no code implementations • 27 Apr 2022 • Yizhe Yang, Yang Gao, Jiawei Li, Heyan Huang
Besides, a Ground Graph Aware Transformer ($G^2AT$) is proposed to enhance knowledge grounded response generation.
no code implementations • 28 Apr 2022 • Zhongang Cai, Daxuan Ren, Ailing Zeng, Zhengyu Lin, Tao Yu, Wenjia Wang, Xiangyu Fan, Yang Gao, Yifan Yu, Liang Pan, Fangzhou Hong, Mingyuan Zhang, Chen Change Loy, Lei Yang, Ziwei Liu
4D human sensing and modeling are fundamental tasks in vision and graphics with numerous applications.
1 code implementation • 9 Jun 2022 • Jinkun Cao, Ruiqian Nai, Qing Yang, Jialei Huang, Yang Gao
In this paper, we examine negative-free contrastive learning methods to study the disentanglement property empirically.
no code implementations • 22 Jun 2022 • Kaifeng Zhang, Rui Zhao, Ziming Zhang, Yang Gao
In this work, we propose Auto-Encoding Adversarial Imitation Learning (AEAIL), a robust and scalable AIL framework.
no code implementations • 22 Jun 2022 • Chuan Wen, Jianing Qian, Jierui Lin, Jiaye Teng, Dinesh Jayaraman, Yang Gao
Across applications spanning supervised classification and sequential control, deep learning has been reported to find "shortcut" solutions that fail catastrophically under minor changes in the data distribution.
no code implementations • 20 Jul 2022 • Chia-Chi Chuang, Donglin Yang, Chuan Wen, Yang Gao
This is especially the case with image observations, where a single image only includes one view of the scene, and it suffers from a lack of motion information and object occlusions.
1 code implementation • 20 Jul 2022 • Chenyu Yang, Wanrong He, Yingqing Xu, Yang Gao
Most existing methods view makeup transfer as transferring color distributions of different facial regions and ignore details such as eye shadows and blushes.
1 code implementation • 21 Jul 2022 • Yingdong Hu, Renhao Wang, Kaifeng Zhang, Yang Gao
Establishing visual correspondence across images is a challenging and essential task.
no code implementations • 15 Sep 2022 • Zichuan Liu, Yuanyang Zhu, Zhi Wang, Yang Gao, Chunlin Chen
While achieving tremendous success in various fields, existing multi-agent reinforcement learning (MARL) with a black-box neural network architecture makes decisions in an opaque manner that hinders humans from understanding the learned knowledge and how input observations influence decisions.
Multi-agent Reinforcement Learning reinforcement-learning +3
no code implementations • 28 Sep 2022 • Zhengrong Xue, Zhecheng Yuan, Jiashun Wang, Xueqian Wang, Yang Gao, Huazhe Xu
Can a robot manipulate intra-category unseen objects in arbitrary poses with the help of a mere demonstration of grasping pose on a single object instance?
1 code implementation • IEEE Transactions on Medical Imaging 2022 • Shumeng Li, Heng Cai; Lei Qi, Qian Yu, Yinghuan Shi, Yang Gao
In this paper, by introducing an extremely sparse annotation way of labeling only one slice per 3D image, we investigate a novel barely-supervised segmentation setting with only a few sparsely-labeled images along with a large amount of unlabeled images.
1 code implementation • 1 Oct 2022 • Jiaye Teng, Chuan Wen, Dinghuai Zhang, Yoshua Bengio, Yang Gao, Yang Yuan
Conformal prediction is a distribution-free technique for establishing valid prediction intervals.
1 code implementation • CVPR 2023 • Wenbin Li, Zhichen Fan, Jing Huo, Yang Gao
Specifically, we propose an inter-class sKLD constraint to effectively exploit the disjoint relationship between labelled and unlabelled classes, enforcing the separability for different classes in the embedding space.
1 code implementation • 10 Oct 2022 • Wubing Chen, Wenbin Li, Xiao Liu, Shangdong Yang, Yang Gao
Empirically, we evaluate MAPPG on the well-known matrix game and differential game, and verify that MAPPG can converge to the global optimum for both discrete and continuous action spaces.
Multi-agent Reinforcement Learning reinforcement-learning +3
1 code implementation • 18 Oct 2022 • Zhao-Heng Yin, Weirui Ye, Qifeng Chen, Yang Gao
Inspired by the recent success of EfficientZero in RL, we propose EfficientImitate (EI), a planning-based imitation learning method that can achieve high in-environment sample efficiency and performance simultaneously.
no code implementations • 23 Oct 2022 • Weirui Ye, Pieter Abbeel, Yang Gao
This paper proposes the Virtual MCTS (V-MCTS), a variant of MCTS that spends more search time on harder states and less search time on simpler states adaptively.
no code implementations • 25 Nov 2022 • Zhuang Xiong, Yang Gao, Feng Liu, Hongfu Sun
We propose an end-to-end AFfine Transformation Edited and Refined (AFTER) deep neural network for QSM, which is robust against arbitrary acquisition orientation and spatial resolution up to 0. 6 mm isotropic at the finest.
no code implementations • 26 Nov 2022 • Wenbin Li, Meihao Kong, Xuesong Yang, Lei Wang, Jing Huo, Yang Gao, Jiebo Luo
In this study, we present a new unified contrastive learning representation framework (named UniCLR) suitable for all the above four kinds of methods from a novel perspective of basic affinity matrix.
no code implementations • 17 Dec 2022 • Zhecheng Yuan, Zhengrong Xue, Bo Yuan, Xueqian Wang, Yi Wu, Yang Gao, Huazhe Xu
Hence, we propose Pre-trained Image Encoder for Generalizable visual reinforcement learning (PIE-G), a simple yet effective framework that can generalize to the unseen visual scenarios in a zero-shot manner.
no code implementations • 23 Dec 2022 • Weichao Shen, Yuan Dong, Zonghao Chen, Zhengyi Zhao, Yang Gao, Zhu Liu
In this paper, we propose PanoViT, a panorama vision transformer to estimate the room layout from a single panoramic image.
no code implementations • 2 Jan 2023 • Shengjie Wang, Fengbo Lan, Xiang Zheng, Yuxue Cao, Oluwatosin Oseni, Haotian Xu, Tao Zhang, Yang Gao
In current model-free reinforcement learning (RL) algorithms, stability criteria based on sampling methods are commonly utilized to guide policy optimization.
no code implementations • 9 Jan 2023 • Jie Liu, Yanqi Bao, Wenzhe Yin, Haochen Wang, Yang Gao, Jan-Jakob Sonke, Efstratios Gavves
However, the appearance variations between objects from the same category could be extremely large, leading to unreliable feature matching and query mask prediction.
Ranked #40 on Few-Shot Semantic Segmentation on PASCAL-5i (1-Shot)
1 code implementation • 3 Feb 2023 • Mingyang Chen, Wen Zhang, Zhen Yao, Yushan Zhu, Yang Gao, Jeff Z. Pan, Huajun Chen
In our proposed model, Entity-Agnostic Representation Learning (EARL), we only learn the embeddings for a small set of entities and refer to them as reserved entities.
no code implementations • 28 Feb 2023 • Haotian Xu, Shengjie Wang, Zhaolei Wang, Yunzhe Zhang, Qing Zhuo, Yang Gao, Tao Zhang
In the early stage, our method loosens the practical constraints of unsafe transitions (adding extra safety budget) with the aid of a new metric we propose.
1 code implementation • 3 Mar 2023 • Kaizhe Hu, Ray Chen Zheng, Yang Gao, Huazhe Xu
Typical RL methods usually require considerable online interaction data that are costly and unsafe to collect in the real world.
no code implementations • 9 Mar 2023 • Shaohuai Liu, Jinbo Liu, Weirui Ye, Nan Yang, Guanglun Zhang, Haiwang Zhong, Chongqing Kang, Qirong Jiang, Xuri Song, Fangchun Di, Yang Gao
The well-trained scheduling agent significantly reduces renewable curtailment and load shedding, which are issues arising from traditional scheduling's reliance on inaccurate day-ahead forecasts.
1 code implementation • CVPR 2023 • Heng Cai, Shumeng Li, Lei Qi, Qian Yu, Yinghuan Shi, Yang Gao
Subsequently, by introducing unlabeled volumes, we propose a dual-network paradigm named Dense-Sparse Co-training (DeSCO) that exploits dense pseudo labels in early stage and sparse labels in later stage and meanwhile forces consistent output of two networks.
no code implementations • 27 Mar 2023 • Xianfan Gu, Chuan Wen, Weirui Ye, Jiaming Song, Yang Gao
Imagining the future trajectory is the key for robots to make sound planning and successfully reach their goals.
no code implementations • 10 Apr 2023 • Yingdong Hu, Renhao Wang, Li Erran Li, Yang Gao
Our study yields a series of intriguing results, including the discovery that the effectiveness of pre-training is highly dependent on the choice of the downstream policy learning algorithm.
no code implementations • 26 Apr 2023 • Benedetta Cevoli, Chris Watkins, Yang Gao, Kathleen Rastle
Lexical ambiguity presents a profound and enduring challenge to the language sciences.
no code implementations • 26 Apr 2023 • Renhao Wang, Jiayuan Mao, Joy Hsu, Hang Zhao, Jiajun Wu, Yang Gao
Robots operating in the real world require both rich manipulation skills as well as the ability to semantically reason about when to apply those skills.
no code implementations • 18 Jun 2023 • Tong Zhang, Yingdong Hu, Hanchen Cui, Hang Zhao, Yang Gao
To this end, we present $\textbf{Semantic-Geometric Representation} (\textbf{SGR})$, a universal perception module for robotics that leverages the rich semantic information of large-scale pre-trained 2D models and inherits the merits of 3D spatial reasoning.
no code implementations • 22 Jun 2023 • Christoph Leiter, Piyawat Lertvittayakumjorn, Marina Fomicheva, Wei Zhao, Yang Gao, Steffen Eger
In this context, we also discuss the latest state-of-the-art approaches to explainable metrics based on generative models such as ChatGPT and GPT4.
no code implementations • 6 Jul 2023 • Jialei Huang, ZhaoHeng Yin, Yingdong Hu, Yang Gao
However, the performance of AIL is still unsatisfactory on the more challenging tasks.
1 code implementation • ICCV 2023 • Wei Cheng, Ruixiang Chen, Wanqi Yin, Siming Fan, Keyu Chen, Honglin He, Huiwen Luo, Zhongang Cai, Jingbo Wang, Yang Gao, Zhengming Yu, Zhengyu Lin, Daxuan Ren, Lei Yang, Ziwei Liu, Chen Change Loy, Chen Qian, Wayne Wu, Dahua Lin, Bo Dai, Kwan-Yee Lin
Realistic human-centric rendering plays a key role in both computer vision and computer graphics.
1 code implementation • 30 Jul 2023 • Heng Cai, Lei Qi, Qian Yu, Yinghuan Shi, Yang Gao
Our experimental results on the MMWHS dataset demonstrate that our method outperforms the state-of-the-art (SOTA) semi-supervised segmentation methods.
1 code implementation • 5 Aug 2023 • Yanqi Bao, Yuxin Li, Jing Huo, Tianyu Ding, Xinyue Liang, Wenbin Li, Yang Gao
Neural Radiance Fields from Sparse input} (NeRF-S) have shown great potential in synthesizing novel views with a limited number of observed viewpoints.
no code implementations • 18 Aug 2023 • Zhuang Xiong, Yang Gao, Yin Liu, Amir Fazlollahi, Peter Nestor, Feng Liu, Hongfu Sun
The data-driven approach of supervised learning methods has limited applicability in solving dipole inversion in Quantitative Susceptibility Mapping (QSM) with varying scan parameters across different objects.
1 code implementation • ICCV 2023 • Jian Zhang, Lei Qi, Yinghuan Shi, Yang Gao
To deal with the domain shift between training and test samples, current methods have primarily focused on learning generalizable features during training and ignore the specificity of unseen samples that are also critical during the test.
no code implementations • 22 Aug 2023 • Linjian Meng, Zhenxing Ge, Wenbin Li, Bo An, Yang Gao
Recent works propose a Reward Transformation (RT) framework for MWU, which removes the uniqueness condition and achieves competitive performance with OMWU.
1 code implementation • ICCV 2023 • Zekun Li, Lei Qi, Yinghuan Shi, Yang Gao
Semi-supervised learning (SSL) aims to leverage massive unlabeled data when labels are expensive to obtain.
1 code implementation • 26 Aug 2023 • Yanqi Bao, Tianyu Ding, Jing Huo, Wenbin Li, Yuxin Li, Yang Gao
By utilizing multiple plug-and-play HyperNet modules, InsertNeRF dynamically tailors NeRF's weights to specific reference scenes, transforming multi-scale sampling-aware features into scene-specific representations.
no code implementations • 6 Sep 2023 • Ze Peng, Lei Qi, Yinghuan Shi, Yang Gao
Although having attributed it to training dynamics, existing theoretical explanations of activation sparsity are restricted to shallow networks, small training steps and special training, despite its emergence in deep models standardly trained for a large number of steps.