1 code implementation • 1 Jun 2023 • Jiakang Yuan, Bo Zhang, Xiangchao Yan, Tao Chen, Botian Shi, Yikang Li, Yu Qiao
It is a long-term vision for Autonomous Driving (AD) community that the perception models can learn from a large-scale point cloud dataset, to obtain unified representations that can achieve promising results on different tasks or benchmarks.
1 code implementation • 30 May 2023 • Chi Zhang, YiWen Chen, Yijun Fu, Zhenglin Zhou, Gang Yu, Billzb Wang, Bin Fu, Tao Chen, Guosheng Lin, Chunhua Shen
The recent advancements in image-text diffusion models have stimulated research interest in large-scale 3D generative models.
no code implementations • CVPR 2023 • Chong Yu, Tao Chen, Zhongxue Gan, Jiayuan Fan
Moreover, GPUSQ-ViT can boost actual deployment performance by 1. 39-1. 79 times and 3. 22-3. 43 times of latency and throughput on A100 GPU, and 1. 57-1. 69 times and 2. 11-2. 51 times improvement of latency and throughput on AGX Orin.
no code implementations • 18 May 2023 • Chong Yu, Tao Chen, Zhongxue Gan
Adversarial attack is commonly regarded as a huge threat to neural networks because of misleading behavior.
1 code implementation • 9 May 2023 • Tao Chen, Yazhou Yao, Jinhui Tang
Weakly supervised semantic segmentation (WSSS) models relying on class activation maps (CAMs) have achieved desirable performance comparing to the non-CAMs-based counterparts.
no code implementations • 4 May 2023 • Peng Ye, Tong He, Shengji Tang, Baopu Li, Tao Chen, Lei Bai, Wanli Ouyang
In this work, we aim to re-investigate the training process of residual networks from a novel social psychology perspective of loafing, and further propose a new training scheme as well as three improved strategies for boosting residual networks beyond their performance limits.
no code implementations • 3 May 2023 • Tao Chen, Liang Lv, Di Wang, Jing Zhang, Yue Yang, Zeyang Zhao, Chen Wang, Xiaowei Guo, Hao Chen, Qingye Wang, Yufei Xu, Qiming Zhang, Bo Du, Liangpei Zhang, DaCheng Tao
With the world population rapidly increasing, transforming our agrifood systems to be more productive, efficient, safe, and sustainable is crucial to mitigate potential food shortages.
1 code implementation • 23 Apr 2023 • Rui Chen, Tao Chen, Qiong Wang, Yazhou Yao
The most common approach is to generate pseudo-labels for unlabeled images to augment the training data.
no code implementations • 20 Apr 2023 • Haoyang Peng, Baopu Li, Bo Zhang, Xin Chen, Tao Chen, Hongyuan Zhu
Then, a novel multi-view prompt fusion module is developed to effectively fuse information from different views to bridge the gap between 3D point cloud data and 2D pre-trained models.
no code implementations • 10 Apr 2023 • Tao Chen, Chenhui Wang, Hongming Shan
Second, by leveraging the stochastic nature of the diffusion model, our BerDiff randomly samples the initial Bernoulli noise and intermediate latent variables multiple times to produce a range of diverse segmentation masks, which can highlight salient regions of interest that can serve as valuable references for radiologists.
no code implementations • 31 Mar 2023 • Chuangguan Ye, Hongyuan Zhu, Yongbin Liao, Yanggang Zhang, Tao Chen, Jiayuan Fan
Due to the emergence of powerful computing resources and large-scale annotated datasets, deep learning has seen wide applications in our daily life.
no code implementations • 31 Mar 2023 • Chuangguan Ye, Hongyuan Zhu, Bo Zhang, Tao Chen
In recent years, research on few-shot learning (FSL) has been fast-growing in the 2D image domain due to the less requirement for labeled training data and greater generalization for novel classes.
no code implementations • 27 Mar 2023 • Sizhe Li, Zhiao Huang, Tao Chen, Tao Du, Hao Su, Joshua B. Tenenbaum, Chuang Gan
Reinforcement learning approaches for dexterous rigid object manipulation would struggle in this setting due to the complexity of physics interaction with deformable objects.
no code implementations • 23 Mar 2023 • Sameer Pai, Tao Chen, Megha Tippur, Edward Adelson, Abhishek Gupta, Pulkit Agrawal
We study the problem of object retrieval in scenarios where visual sensing is absent, object shapes are unknown beforehand and objects can move freely, like grabbing objects out of a drawer.
1 code implementation • 21 Mar 2023 • Hancheng Ye, Bo Zhang, Tao Chen, Jiayuan Fan, Bin Wang
Global channel pruning (GCP) aims to remove a subset of channels (filters) across different layers from a deep model without hurting the performance.
1 code implementation • CVPR 2023 • Bo Zhang, Jiakang Yuan, Botian Shi, Tao Chen, Yikang Li, Yu Qiao
In this paper, we study the task of training a unified 3D detector from multiple datasets.
1 code implementation • CVPR 2023 • Jiakang Yuan, Bo Zhang, Xiangchao Yan, Tao Chen, Botian Shi, Yikang Li, Yu Qiao
Unsupervised Domain Adaptation (UDA) technique has been explored in 3D cross-domain tasks recently.
no code implementations • 9 Mar 2023 • Tao Chen, Ruirui Li, Jiafeng Fu, Daguang Jiang
However, for small targets, there still be seriously missed detections due to the loss of key detail features.
no code implementations • 14 Feb 2023 • Krishna Murthy Jatavallabhula, Alihusein Kuwajerwala, Qiao Gu, Mohd Omama, Tao Chen, Shuang Li, Ganesh Iyer, Soroush Saryazdi, Nikhil Keetha, Ayush Tewari, Joshua B. Tenenbaum, Celso Miguel de Melo, Madhava Krishna, Liam Paull, Florian Shkurti, Antonio Torralba
ConceptFusion leverages the open-set capabilities of today's foundation models pre-trained on internet-scale data to reason about concepts across modalities such as natural language, images, and audio.
1 code implementation • 19 Jan 2023 • Huafeng Liu, Pai Peng, Tao Chen, Qiong Wang, Yazhou Yao, Xian-Sheng Hua
Few-shot semantic segmentation is the task of learning to locate each pixel of the novel class in the query image with only a few annotated support images.
Ranked #2 on Few-Shot Semantic Segmentation on COCO-20i (10-shot)
no code implementations • 17 Jan 2023 • Chongshan Lu, Fukun Yin, Xin Chen, Tao Chen, Gang Yu, Jiayuan Fan
Meanwhile, a new benchmark for several outdoor NeRF-based tasks is established, such as novel view synthesis, surface reconstruction, and multi-modal NeRF.
1 code implementation • 16 Jan 2023 • Peng Ye, Tong He, Baopu Li, Tao Chen, Lei Bai, Wanli Ouyang
To address the robustness problem, we first benchmark different NAS methods under a wide range of proxy data, proxy channels, proxy layers and proxy epochs, since the robustness of NAS under different kinds of proxies has not been explored before.
1 code implementation • 9 Jan 2023 • Tao Chen, Miqing Li
Before we design better optimizers, a crucial engineering decision to make therein is how to handle the performance requirements with clear aspirations in the tuning process.
no code implementations • CVPR 2023 • Sijin Chen, Hongyuan Zhu, Xin Chen, Yinjie Lei, Tao Chen, Gang Yu
Compared with prior arts, our framework has several appealing advantages: 1) Without resorting to numerous hand-crafted components, our method is based on a full transformer encoder-decoder architecture with a learnable vote query driven object decoder, and a caption decoder that produces the dense captions in a set-prediction manner.
no code implementations • 21 Dec 2022 • Chenlu Zhan, Peng Peng, Hongsen Wang, Tao Chen, Hongwei Wang
Moreover, for grasping the unified semantic representation, we extend the adversarial masking data augmentation to the contrastive representation learning of vision and text in a unified manner.
1 code implementation • CVPR 2023 • Xin Chen, Biao Jiang, Wen Liu, Zilong Huang, Bin Fu, Tao Chen, Jingyi Yu, Gang Yu
We study a challenging task, conditional human motion generation, which produces plausible human motion sequences according to various conditional inputs, such as action classes or textual descriptors.
Ranked #1 on Motion Synthesis on KIT Motion-Language
1 code implementation • 8 Dec 2022 • Jiaxin Zhang, Wei Sui, Qian Zhang, Tao Chen, Cong Yang
In this paper, we introduce a novel approach for ground plane normal estimation of wheeled vehicles.
no code implementations • 21 Nov 2022 • Tao Chen, Megha Tippur, Siyang Wu, Vikash Kumar, Edward Adelson, Pulkit Agrawal
In-hand object reorientation is necessary for performing many dexterous manipulation tasks, such as tool use in unstructured environments that remain beyond the reach of current robots.
no code implementations • 15 Nov 2022 • Weimin Wu, Jiayuan Fan, Tao Chen, Hancheng Ye, Bo Zhang, Baopu Li
To enhance the model, adaptability between domains and reduce the computational cost when deploying the ensemble model, we propose a novel framework, namely Instance aware Model Ensemble With Distillation, IMED, which fuses multiple UDA component models adaptively according to different instances and distills these components into a small model.
1 code implementation • 20 Oct 2022 • Fukun Yin, Wen Liu, Zilong Huang, Pei Cheng, Tao Chen, Gang Yu
Implicit neural 3D representation has achieved impressive results in surface or scene reconstruction and novel view synthesis, which typically uses the coordinate-based multi-layer perceptrons (MLPs) to learn a continuous scene representation.
no code implementations • 11 Oct 2022 • Kai Hui, Tao Chen, Zhen Qin, Honglei Zhuang, Fernando Diaz, Mike Bendersky, Don Metzler
Retrieval augmentation has shown promising improvements in different tasks.
1 code implementation • 9 Oct 2022 • Peng Ye, Shengji Tang, Baopu Li, Tao Chen, Wanli Ouyang
In this work, we aim to re-investigate the training process of residual networks from a novel social psychology perspective of loafing, and further propose a new training strategy to strengthen the performance of residual networks.
no code implementations • 6 Oct 2022 • Tao Chen, Luxin Liu, Xuepeng Jia, Baoliang Cui, Haihong Tang, Siliang Tang
Specifically, we borrow recent prompt-based language models as the knowledge expert to yield initial seed rules, and based on the formed high-quality instance pool that acts as an intermediary role, we keep teaching the expert to fit our task and learning task-specific logical rules.
1 code implementation • 4 Oct 2022 • Guoming Long, Tao Chen, Georgina Cosma
Yet, given the growing number of new GitHub reports for DL frameworks, it is intrinsically difficult for developers to distinguish those that reveal non-functional bugs among the others, and assign them to the right contributor for investigation in a timely manner.
no code implementations • 10 Aug 2022 • Peng Ye, Baopu Li, Tao Chen, Jiayuan Fan, Zhen Mei, Chen Lin, Chongyan Zuo, Qinghua Chi, Wanli Ouyan
In this paper, we intend to search an optimal network structure that can run in real-time for this problem.
no code implementations • 27 Jul 2022 • Jianshu Li, Man Luo, Jian Liu, Tao Chen, Chengjie Wang, Ziwei Liu, Shuo Liu, Kewei Yang, Xuning Shao, Kang Chen, Boyuan Liu, Mingyu Guo, Ying Guo, Yingying Ao, Pengfei Gao
In this paper, we present the solutions from the Top 3 teams, in order to boost the research work in the field of image forgery detection.
1 code implementation • 17 Jul 2022 • Xinwei Liu, Jian Liu, Yang Bai, Jindong Gu, Tao Chen, Xiaojun Jia, Xiaochun Cao
Inspired by the vulnerability of DNNs on adversarial perturbations, we propose a novel defence mechanism by adversarial machine learning for good.
1 code implementation • 2 Jul 2022 • Bo Zhang, Jiakang Yuan, Baopu Li, Tao Chen, Jiayuan Fan, Botian Shi
Few-shot fine-grained learning aims to classify a query image into one of a set of support categories with fine-grained differences.
1 code implementation • 20 Jun 2022 • Tao Chen, Yazhou Yao, Lei Zhang, Qiong Wang, Guo-Sen Xie, Fumin Shen
Specifically, we propose a saliency guided class-agnostic distance module to pull the intra-category features closer by aligning features to their class prototypes.
no code implementations • 30 May 2022 • Hanqi Wang, Xiaoguang Zhu, Tao Chen, Chengfang Li, Liang Song
The results of the experiments support the advantages of our method.
no code implementations • 19 May 2022 • Yu-Wei Chao, Chris Paxton, Yu Xiang, Wei Yang, Balakumar Sundaralingam, Tao Chen, Adithyavairavan Murali, Maya Cakmak, Dieter Fox
We analyze the performance of a set of baselines and show a correlation with a real-world evaluation.
no code implementations • 5 May 2022 • Gabriel B Margolis, Ge Yang, Kartik Paigwar, Tao Chen, Pulkit Agrawal
Agile maneuvers such as sprinting and high-speed turning in the wild are challenging for legged robots.
no code implementations • Findings (ACL) 2022 • Kai Hui, Honglei Zhuang, Tao Chen, Zhen Qin, Jing Lu, Dara Bahri, Ji Ma, Jai Prakash Gupta, Cicero Nogueira dos santos, Yi Tay, Don Metzler
This results in significant inference time speedups since the decoder-only architecture only needs to learn to interpret static encoder embeddings during inference.
1 code implementation • 18 Apr 2022 • Tao Chen, Mike Ludkovski, Moritz Voß
Precise calibration of price impact, resilience, etc., is known to be extremely challenging and hence it is critical to understand sensitivity of the execution policy to these parameters.
3 code implementations • CVPR 2022 • Wenqiang Zhang, Zilong Huang, Guozhong Luo, Tao Chen, Xinggang Wang, Wenyu Liu, Gang Yu, Chunhua Shen
Although vision transformers (ViTs) have achieved great success in computer vision, the heavy computational cost hampers their applications to dense prediction tasks such as semantic segmentation on mobile devices.
1 code implementation • 30 Mar 2022 • Jingzhi Gong, Tao Chen
Learning and predicting the performance of a configurable software system helps to provide better quality assurance.
no code implementations • ICLR 2022 • Zhang-Wei Hong, Tao Chen, Yen-Chen Lin, Joni Pajarinen, Pulkit Agrawal
State-of-the-art deep Q-learning methods update Q-values using state transition tuples sampled from the experience replay buffer.
no code implementations • 23 Mar 2022 • Tao Chen
To assure performance on the fly, planning is arguably one of the most important steps for self-adaptive systems (SASs), especially when they are highly configurable with a daunting number of adaptation options.
1 code implementation • 3 Mar 2022 • Bo Zhang, Tao Chen, Bin Wang
Although domain adaptation has been extensively studied in natural image-based segmentation task, the research on cross-domain segmentation for very high resolution (VHR) remote sensing images (RSIs) still remains underexplored.
1 code implementation • 3 Mar 2022 • Peng Ye, Baopu Li, Yikang Li, Tao Chen, Jiayuan Fan, Wanli Ouyang
Neural Architecture Search~(NAS) has attracted increasingly more attention in recent years because of its capability to design deep neural networks automatically.
1 code implementation • 8 Feb 2022 • Tao Chen, Miqing Li
However, when clear preferences of the stakeholders (e. g., a set of weights which reflect relative importance between objectives) are available prior to the search, weighted search is believed to be the first choice since it simplifies the search via converting the original multi-objective problem into a single-objective one and enable the search to focus on what only the stakeholders are interested in.
1 code implementation • 3 Feb 2022 • Shuang Li, Xavier Puig, Chris Paxton, Yilun Du, Clinton Wang, Linxi Fan, Tao Chen, De-An Huang, Ekin Akyürek, Anima Anandkumar, Jacob Andreas, Igor Mordatch, Antonio Torralba, Yuke Zhu
Together, these results suggest that language modeling induces representations that are useful for modeling not just language, but also goals and plans; these representations can aid learning and generalization even outside of language processing.
1 code implementation • 30 Jan 2022 • Bicheng Guo, Tao Chen, Shibo He, Haoyu Liu, Lilin Xu, Peng Ye, Jiming Chen
The NAR explores the quality tiers of the search space globally and classifies each individual to the tier they belong to according to its global ranking.
no code implementations • 25 Jan 2022 • Tao Chen, Mingyang Zhang, Jing Lu, Michael Bendersky, Marc Najork
In this work, we carefully select five datasets, including two in-domain datasets and three out-of-domain datasets with different levels of domain shift, and study the generalization of a deep model in a zero-shot setting.
no code implementations • 18 Jan 2022 • Tao Chen
When faced with changing environment, highly configurable software systems need to dynamically search for promising adaptation plan that keeps the best possible performance, e. g., higher throughput or smaller latency -- a typical planning problem for self-adaptive systems (SASs).
no code implementations • 10 Jan 2022 • Tao Chen, Yiran Liu, Haoyu Jiang, Ruirui Li
While CNN excels at extracting local detail features, the Transformer naturally perceives global contextual information.
no code implementations • 5 Jan 2022 • Ke Li, Peili Mao, Tao Chen
Due to the black-box nature, it is difficult, if not impossible, to analyze and understand its behavior, such as the interaction between combinations of configuration options with regard to the performance, in particular, which is of great importance to advance the controllability of the underlying software system.
1 code implementation • CVPR 2022 • Peng Ye, Baopu Li, Yikang Li, Tao Chen, Jiayuan Fan, Wanli Ouyang
Neural Architecture Search (NAS) has attracted increasingly more attention in recent years because of its capability to design deep neural network automatically.
no code implementations • 31 Dec 2021 • Dongbo Xi, Fuzhen Zhuang, Bowen Song, Yongchun Zhu, Shuai Chen, Dan Hong, Tao Chen, Xi Gu, Qing He
Many prediction tasks of real-world applications need to model multi-order feature interactions in user's event sequence for better detection performance.
no code implementations • 29 Dec 2021 • Bingyang Chen, Tao Chen, Xingjie Zeng, Weishan Zhang, Qinghua Lu, Zhaoxiang Hou, Jiehan Zhou, Sumi Helal
Additionally, a dynamic-weight based fusion strategy is proposed to further improve the accuracy of federated learning, which dynamically selects clients based on the accuracy of each local model.
1 code implementation • 14 Dec 2021 • Tao Chen, Miqing Li
We also demonstrate that the MMO model with the new normalization can consolidate Flash, a recent model-based tuning tool, on 68% of the cases with 1. 22x speedup in general.
no code implementations • 2 Dec 2021 • Wei Liu, Huanqin Wu, Wenjing Mu, Zhen Li, Tao Chen, Dan Nie
We propose CO2Sum (Contrastive for Consistency), a contrastive learning scheme that can be easily applied on sequence-to-sequence models for factual-consistent abstractive summarization, proving that the model can be fact-aware without modifying the architecture.
1 code implementation • 30 Nov 2021 • Yongbin Liao, Hongyuan Zhu, Yanggang Zhang, Chuangguan Ye, Tao Chen, Jiayuan Fan
For stage two, the bounding box proposals with SPCR are grouped into some subsets, and the instance masks are mined inside each subset with a novel semantic propagation module and a property consistency graph module.
no code implementations • 4 Nov 2021 • Tao Chen, Jie Xu, Pulkit Agrawal
The videos of the learned policies are available at: https://taochenshh. github. io/projects/in-hand-reorientation.
no code implementations • 10 Oct 2021 • Haichao Zhang, Youcheng Ben, Weixi Zhang, Tao Chen, Gang Yu, Bin Fu
Recent face reenactment works are limited by the coarse reference landmarks, leading to unsatisfactory identity preserving performance due to the distribution gap between the manipulated landmarks and those sampled from a real person.
no code implementations • 10 Oct 2021 • Haichao Zhang, Gang Yu, Tao Chen, Guozhong Luo
Video creation has been an attractive yet challenging task for artists to explore.
1 code implementation • 19 Sep 2021 • Bo Zhang, Tao Chen, Bin Wang, Ruoyao Li
Unsupervised domain adaptive object detection aims to adapt a well-trained detector from its original source domain with rich labeled data to a new target domain with unlabeled data.
no code implementations • 30 Aug 2021 • Bo Zhang, Tao Chen, Bin Wang, Xiaofeng Wu, Liming Zhang, Jiayuan Fan
Unsupervised domain adaptive object detection aims to adapt a well-trained detector from its original source domain with rich labeled data to a new target domain with unlabeled data.
no code implementations • 30 Aug 2021 • Yike Wu, Bo Zhang, Gang Yu, Weixi Zhang, Bin Wang, Tao Chen, Jiayuan Fan
The goal of few-shot fine-grained image classification is to recognize rarely seen fine-grained objects in the query set, given only a few samples of this class in the support set.
Fine-Grained Image Classification Semantic correspondence +2
no code implementations • ACL 2021 • Lemao Liu, Haisong Zhang, Haiyun Jiang, Yangming Li, Enbo Zhao, Kun Xu, Linfeng Song, Suncong Zheng, Botong Zhou, Dick Zhu, Xiao Feng, Tao Chen, Tao Yang, Dong Yu, Feng Zhang, Zhanhui Kang, Shuming Shi
This paper introduces TexSmart, a text understanding system that supports fine-grained named entity recognition (NER) and enhanced semantic analysis functionalities.
1 code implementation • ACL 2021 • Xuepeng Wang, Li Zhao, Bing Liu, Tao Chen, Feng Zhang, Di Wang
In this paper, we propose a novel concept-based label embedding method that can explicitly represent the concept and model the sharing mechanism among classes for the hierarchical text classification.
1 code implementation • 15 Jul 2021 • Jie Xu, Tao Chen, Lara Zlokapa, Michael Foshey, Wojciech Matusik, Shinjiro Sueda, Pulkit Agrawal
Existing methods for co-optimization are limited and fail to explore a rich space of designs.
1 code implementation • 21 Jun 2021 • Tao Chen, Haochen Shi, Liyuan Liu, Siliang Tang, Jian Shao, Zhigang Chen, Yueting Zhuang
In this paper, we propose collaborative adversarial training to improve the data utilization, which coordinates virtual adversarial training (VAT) and adversarial training (AT) at different levels.
1 code implementation • ACL 2021 • Tao Chen, Haizhou Shi, Siliang Tang, Zhigang Chen, Fei Wu, Yueting Zhuang
The journey of reducing noise from distant supervision (DS) generated training data has been started since the DS was first introduced into the relation extraction (RE) task.
no code implementations • 11 Jun 2021 • Spurthi Amba Hombaiah, Tao Chen, Mingyang Zhang, Michael Bendersky, Marc Najork
To this end, we both explore two different vocabulary composition methods, as well as propose three sampling methods which help in efficient incremental training for BERT-like models.
1 code implementation • Findings (ACL) 2021 • Huanqin Wu, Wei Liu, Lei LI, Dan Nie, Tao Chen, Feng Zhang, Di Wang
Keyphrase Prediction (KP) task aims at predicting several keyphrases that can summarize the main idea of the given document.
no code implementations • 31 May 2021 • Tao Chen, Miqing Li
Automatically tuning software configuration for optimizing a single performance attribute (e. g., minimizing latency) is not trivial, due to the nature of the configuration systems (e. g., complex landscape and expensive measurement).
no code implementations • 15 May 2021 • Marcus N. Boon, Hans-Christian Ruiz Euler, Tao Chen, Bram van de Ven, Unai Alegre Ibarra, Peter A. Bobbert, Wilfred G. van der Wiel
Here, we demonstrate an efficient and accurate homodyne gradient extraction method for performing gradient descent on the loss function directly in the material system.
no code implementations • 16 Apr 2021 • Te-Lin Wu, Cheng Li, Mingyang Zhang, Tao Chen, Spurthi Amba Hombaiah, Michael Bendersky
text, table, image) and propose a novel layout-aware multimodal hierarchical framework, LAMPreT, to model the blocks and the whole document.
no code implementations • 1 Apr 2021 • Joshua Gruenstein, Tao Chen, Neel Doshi, Pulkit Agrawal
RML provides a general framework for learning from extremely small amounts of interaction data, and our experiments with HAMR clearly demonstrate that RML substantially outperforms existing techniques.
1 code implementation • CVPR 2021 • Yazhou Yao, Tao Chen, GuoSen Xie, Chuanyi Zhang, Fumin Shen, Qi Wu, Zhenmin Tang, Jian Zhang
To further mine the non-salient region objects, we propose to exert the segmentation network's self-correction ability.
Weakly supervised Semantic Segmentation Weakly-Supervised Semantic Segmentation
no code implementations • 16 Mar 2021 • Qihang Yang, Tao Chen, Jiayuan Fan, Ye Lu, Chongyan Zuo, Qinghua Chi
Due to real-time image semantic segmentation needs on power constrained edge devices, there has been an increasing desire to design lightweight semantic segmentation neural network, to simultaneously reduce computational cost and increase inference speed.
1 code implementation • 22 Feb 2021 • Tao Chen, GuoSen Xie, Yazhou Yao, Qiong Wang, Fumin Shen, Zhenmin Tang, Jian Zhang
Then we utilize the fused prototype to guide the final segmentation of the query image.
no code implementations • 1 Feb 2021 • Li-Na Ji, Cheng-Yun Ding, Tao Chen, Zheng-Yuan Xue
Here, we propose a scheme to realize geometric quantum gates with noncyclic and nonadiabatic evolution via invariant-based shortcuts, where universal quantum gates can be induced in one step without path mutation and the gate time is also effectively shortened.
no code implementations • 1 Jan 2021 • Tao Chen, Pulkit Agrawal
Learning from past mistakes is a quintessential aspect of intelligence.
no code implementations • ICCV 2021 • Lin Zhao, Shao-Ping Lu, Tao Chen, Zhenglu Yang, Ariel Shamir
Underexposed image enhancement is of importance in many research domains.
no code implementations • 31 Dec 2020 • Haisong Zhang, Lemao Liu, Haiyun Jiang, Yangming Li, Enbo Zhao, Kun Xu, Linfeng Song, Suncong Zheng, Botong Zhou, Jianchen Zhu, Xiao Feng, Tao Chen, Tao Yang, Dong Yu, Feng Zhang, Zhanhui Kang, Shuming Shi
This technique report introduces TexSmart, a text understanding system that supports fine-grained named entity recognition (NER) and enhanced semantic analysis functionalities.
no code implementations • 4 Dec 2020 • Daniel Sebastia-Saez, Panayiotis Kattou, Guoping Lian, Liang Cui, Tao Chen
The results obtained with the follicular gap filled with water give satisfactory quantitative comparison with in vitro experimental data.
no code implementations • 26 Oct 2020 • Daniel Sebastia-Saez, Faiza Benaouda, Charlie Lim, Guoping Lian, Stuart Jones, Tao Chen, Liang Cui
Suction cups are widely used in applications such as in measurement of mechanical properties of skin in vivo, in drug delivery devices or in acupuncture treatment.
no code implementations • 7 Oct 2020 • Xuelin Qian, Huazhu Fu, Weiya Shi, Tao Chen, Yanwei Fu, Fei Shan, xiangyang xue
To counter the outbreak of COVID-19, the accurate diagnosis of suspected cases plays a crucial role in timely quarantine, medical treatment, and preventing the spread of the pandemic.
no code implementations • 1 Sep 2020 • Jingchen Sun, Jiming Chen, Tao Chen, Jiayuan Fan, Shibo He
Vision-based dynamic pedestrian intrusion detection (PID), judging whether pedestrians intrude an area-of-interest (AoI) by a moving camera, is an important task in mobile surveillance.
no code implementations • 11 Aug 2020 • Junlan Chen, Ke Wang, Huanhuan Bao, Tao Chen
Cooperative overtaking is believed to have the capability of improving road safety and traffic efficiency by means of the real-time information exchange between traffic participants, including road infrastructures, nearby vehicles and others.
no code implementations • 15 Jul 2020 • Xianfu Chen, Celimuge Wu, Tao Chen, Zhi Liu, Honggang Zhang, Mehdi Bennis, Hang Liu, Yusheng Ji
Using the proposed deep RL scheme, each MU in the system is able to make decisions without a priori statistical knowledge of dynamics.
no code implementations • 30 Jun 2020 • Feng Zhou, Tao Chen, Baiying Lei
Amid the ongoing COVID-19 pandemic, whether COVID-19 patients with high risks can be recovered or not depends, to a large extent, on how early they will be treated appropriately before irreversible consequences are caused to the patients by the virus.
no code implementations • 17 May 2020 • Ansel MacLaughlin, Tao Chen, Burcu Karagol Ayan, Dan Roth
Our experiments confirm the strong performance of BERT-based methods on this task, which outperform bag-of-words and neural ranking baselines by more than 30% relative across all ranking metrics.
no code implementations • 2 May 2020 • Yimin Hou, Shuyue Jia, Xiangmin Lun, Shu Zhang, Tao Chen, Fang Wang, Jinglei Lv
The introduced deep feature mining approach can precisely recognize human motion intents from raw EEG signals, which paves the road to translate the EEG based MI recognition to practical BCI systems.
no code implementations • 14 Apr 2020 • Xian Wu, Xiao-Nan Fang, Tao Chen, Fang-Lue Zhang
We propose a novel end-to-end deep learning framework, the Joint Matting Network (JMNet), to automatically generate alpha mattes for human images.
1 code implementation • 7 Apr 2020 • Jingjing Chen, Jichao Zhang, Enver Sangineto, Jiayuan Fan, Tao Chen, Nicu Sebe
In this paper, we propose to alleviate these problems by means of a novel gaze redirection framework which exploits both a numerical and a pictorial direction guidance, jointly with a coarse-to-fine learning strategy.
no code implementations • CVPR 2020 • Rongliang Wu, Gongjie Zhang, Shijian Lu, Tao Chen
Recent advances in Generative Adversarial Nets (GANs) have shown remarkable improvements for facial expression editing.
1 code implementation • 20 Feb 2020 • Miqing Li, Tao Chen, Xin Yao
We then conduct an in-depth analysis of quality evaluation indicators/methods and general situations in SBSE, which, together with the identified issues, enables us to codify a methodological guidance for selecting and using evaluation methods in different SBSE scenarios.
1 code implementation • 8 Feb 2020 • Ke Li, Zilin Xiang, Tao Chen, Shuo Wang, Kay Chen Tan
Given a tight computational budget, it is more cost-effective to focus on optimizing the parameter configuration of transfer learning algorithms (3) The research on CPDP is far from mature where it is "not difficult" to find a better alternative by making a combination of existing transfer learning and classification techniques.
1 code implementation • 22 Jan 2020 • Tao Chen, Miqing Li, Ke Li, Kalyanmoy Deb
In this paper, we provide the first systematic and comprehensive survey exclusively on SBSE for SASs, covering papers in 27 venues from 7 repositories, which eventually leads to several key statistics from the most notable 74 primary studies in this particular field of research.
no code implementations • 20 Jan 2020 • Tao Chen, Rami Bahsoon, Xin Yao
To promote engineering self-aware and self-adaptive software systems in a reusable manner, architectural patterns and the related methodology provide an unified solution to handle the recurring problems in the engineering process.
no code implementations • 17 Jan 2020 • Wenxuan Wang, Yanwei Fu, Qiang Sun, Tao Chen, Chenjie Cao, Ziqi Zheng, Guoqiang Xu, Han Qiu, Yu-Gang Jiang, xiangyang xue
Considering the phenomenon of uneven data distribution and lack of samples is common in real-world scenarios, we further evaluate several tasks of few-shot expression learning by virtue of our F2ED, which are to recognize the facial expressions given only few training instances.
no code implementations • 25 Oct 2019 • Jie He, Tao Chen, Zhijun Zhang
Single-hidden layer feed forward neural networks (SLFNs) are widely used in pattern classification problems, but a huge bottleneck encountered is the slow speed and poor performance of the traditional iterative gradient-based learning algorithms.
4 code implementations • IJCNLP 2019 • Tao Yu, Rui Zhang, He Yang Er, Suyi Li, Eric Xue, Bo Pang, Xi Victoria Lin, Yi Chern Tan, Tianze Shi, Zihan Li, Youxuan Jiang, Michihiro Yasunaga, Sungrok Shim, Tao Chen, Alexander Fabbri, Zifan Li, Luyao Chen, Yuwen Zhang, Shreya Dixit, Vincent Zhang, Caiming Xiong, Richard Socher, Walter S. Lasecki, Dragomir Radev
We present CoSQL, a corpus for building cross-domain, general-purpose database (DB) querying dialogue systems.
Ranked #8 on Dialogue State Tracking on CoSQL
no code implementations • 6 Aug 2019 • Xianfu Chen, Celimuge Wu, Tao Chen, Honggang Zhang, Zhi Liu, Yan Zhang, Mehdi Bennis
In this paper, we investigate the problem of age of information (AoI)-aware radio resource management for expected long-term performance optimization in a Manhattan grid vehicle-to-vehicle network.
no code implementations • 25 Jul 2019 • Wenxuan Wang, Qiang Sun, Tao Chen, Chenjie Cao, Ziqi Zheng, Guoqiang Xu, Han Qiu, Yanwei Fu
First, we create a new facial expression dataset of more than 200k images with 119 persons, 4 poses and 54 expressions.
2 code implementations • 19 Jun 2019 • Adithyavairavan Murali, Tao Chen, Kalyan Vasudev Alwala, Dhiraj Gandhi, Lerrel Pinto, Saurabh Gupta, Abhinav Gupta
This paper introduces PyRobot, an open-source robotics framework for research and benchmarking.
5 code implementations • ACL 2019 • Tao Yu, Rui Zhang, Michihiro Yasunaga, Yi Chern Tan, Xi Victoria Lin, Suyi Li, Heyang Er, Irene Li, Bo Pang, Tao Chen, Emily Ji, Shreya Dixit, David Proctor, Sungrok Shim, Jonathan Kraft, Vincent Zhang, Caiming Xiong, Richard Socher, Dragomir Radev
The best model obtains an exact match accuracy of 20. 2% over all questions and less than10% over all interaction sequences, indicating that the cross-domain setting and the con-textual phenomena of the dataset present significant challenges for future research.
no code implementations • 25 Mar 2019 • Tao Chen
Given the ever-increasing complexity of adaptable software systems and their commonly hidden internal information (e. g., software runs in the public cloud), machine learning based performance modeling has gained momentum for evaluating, understanding and predicting software performance, which facilitates better informed self-adaptations.
2 code implementations • 11 Mar 2019 • Artem Molchanov, Tao Chen, Wolfgang Hönig, James A. Preiss, Nora Ayanian, Gaurav S. Sukhatme
Quadrotor stabilizing controllers often require careful, model-specific tuning for safe operation.
2 code implementations • ICLR 2019 • Tao Chen, Saurabh Gupta, Abhinav Gupta
Numerous past works have tackled the problem of task-driven navigation.
1 code implementation • NeurIPS 2018 • Tao Chen, Adithyavairavan Murali, Abhinav Gupta
In tasks where knowing the agent dynamics is important for success, we learn an embedding for robot hardware and show that policies conditioned on the encoding of hardware tend to generalize and transfer well.
no code implementations • 2 May 2018 • Feng Zhou, Shu Kong, Charless Fowlkes, Tao Chen, Baiying Lei
Specifically, we first mapped facial expressions into dimensional measures so that we transformed facial expression analysis from a classification problem to a regression one.
no code implementations • WS 2016 • Hong Jin Kang, Tao Chen, Muthu Kumar Chandrasekaran, Min-Yen Kan
Thus we have also applied word embeddings to the novel task of cross-lingual WSD for Chinese and provide a public dataset for further benchmarking.
no code implementations • 7 Jun 2016 • Nikolaos Pappas, Miriam Redi, Mercan Topkara, Brendan Jou, Hongyi Liu, Tao Chen, Shih-Fu Chang
The impact of culture in visual emotion perception has recently captured the attention of multimedia research.
no code implementations • 16 Aug 2015 • Brendan Jou, Tao Chen, Nikolaos Pappas, Miriam Redi, Mercan Topkara, Shih-Fu Chang
Our work expressly focuses on the uniqueness of culture and language in relation to human affect, specifically sentiment and emotion semantics, and how they manifest in social multimedia.
1 code implementation • 30 Oct 2014 • Tao Chen, Damian Borth, Trevor Darrell, Shih-Fu Chang
Nearly one million Flickr images tagged with these ANPs are downloaded to train the classifiers of the concepts.
no code implementations • 15 Jan 2014 • Yi Wang, Nevin L. Zhang, Tao Chen
We propose a novel method for approximate inference in Bayesian networks (BNs).
no code implementations • ACM Transactions on Graphics 2009 • Tao Chen, Ming-Ming Cheng, Ping Tan, Ariel Shamir, Shi-Min Hu
The composed picture is generated by seamlessly stitching several photographs in agreement with the sketch and text labels; these are found by searching the Internet.