Search Results for author: Xin Tian

Found 26 papers, 12 papers with code

Unsupervised Salient Instance Detection

no code implementations CVPR 2024 Xin Tian, Ke Xu, Rynson Lau

Hence we propose SCoCo a novel network that models saliency coherence and contrast for USID.

OCT2Confocal: 3D CycleGAN based Translation of Retinal OCT Images to Confocal Microscopy

1 code implementation17 Nov 2023 Xin Tian, Nantheera Anantrasirichai, Lindsay Nicholson, Alin Achim

This marks the first attempt to exploit the inherent 3D information of OCT and translate it into the rich, detailed color domain of confocal microscopy.

A Canonical Data Transformation for Achieving Inter- and Within-group Fairness

no code implementations23 Oct 2023 Zachary McBride Lazri, Ivan Brugere, Xin Tian, Dana Dachman-Soled, Antigoni Polychroniadou, Danial Dervovic, Min Wu

The mapping is constructed to preserve the relative relationship between the scores obtained from the unprocessed feature vectors of individuals from the same demographic group, guaranteeing within-group fairness.


Robust and Scalable Gaussian Process Regression and Its Applications

1 code implementation CVPR 2023 Yifan Lu, Jiayi Ma, Leyuan Fang, Xin Tian, Junjun Jiang

This enables the application of Gaussian processes to a wide range of real data, which are often large-scale and contaminated by outliers.

4k GPR +3

Query Enhanced Knowledge-Intensive Conversation via Unsupervised Joint Modeling

1 code implementation19 Dec 2022 Mingzhu Cai, Siqi Bao, Xin Tian, Huang He, Fan Wang, Hua Wu

In this paper, we propose an unsupervised query enhanced approach for knowledge-intensive conversations, namely QKConv.

Conversational Question Answering Retrieval

Q-TOD: A Query-driven Task-oriented Dialogue System

1 code implementation14 Oct 2022 Xin Tian, Yingzhan Lin, Mengfei Song, Siqi Bao, Fan Wang, Huang He, Shuqi Sun, Hua Wu

Firstly, as the query is in the form of natural language and not confined to the schema of the knowledge base, the issue of domain adaption is alleviated remarkably in Q-TOD.

Domain Adaptation Response Generation +2

Bi-directional Object-context Prioritization Learning for Saliency Ranking

1 code implementation CVPR 2022 Xin Tian, Ke Xu, Xin Yang, Lin Du, BaoCai Yin, Rynson W. H. Lau

We observe that spatial attention works concurrently with object-based attention in the human visual recognition system.

Object Saliency Ranking

Optimal Transport-based Graph Matching for 3D retinal OCT image registration

no code implementations28 Feb 2022 Xin Tian, Nantheera Anantrasirichai, Lindsay Nicholson, Alin Achim

Finally, registration along the direction orthogonal to the x-y plane (the z-direction) is guided by the segmentation of two important anatomical features peculiar to mouse b-scans, the Internal Limiting Membrane (ILM) and the hyaloid remnant (HR).

Graph Matching Image Registration

Coherent Point Drift Revisited for Non-Rigid Shape Matching and Registration

no code implementations CVPR 2022 Aoxiang Fan, Jiayi Ma, Xin Tian, Xiaoguang Mei, Wei Liu

In this paper, we explore a new type of extrinsic method to directly align two geometric shapes with point-to-point correspondences in ambient space by recovering a deformation, which allows more continuous and smooth maps to be obtained.

Learning to Detect Instance-level Salient Objects Using Complementary Image Labels

no code implementations19 Nov 2021 Xin Tian, Ke Xu, Xin Yang, BaoCai Yin, Rynson W. H. Lau

However, it is non-trivial to use only class labels to learn instance-aware saliency information, as salient instances with high semantic affinities may not be easily separated by the labels.

Boundary Detection Object Localization +1

Amendable Generation for Dialogue State Tracking

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.

Dialogue State Tracking Multi-domain Dialogue State Tracking +1

PLATO-XL: Exploring the Large-scale Pre-training of Dialogue Generation

3 code implementations20 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, Zheng-Yu 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.

Dialogue Generation

A Multi-Channel Ratio-of-Ratios Method for Noncontact Hand Video Based SpO2 Monitoring Using Smartphone Cameras

no code implementations18 Jul 2021 Xin Tian, Chau-Wai Wong, Sushant M. Ranadive, Min Wu

Experimental results show that our proposed blood oxygen estimation method can reach a mean absolute error of 1. 26% when a pulse oximeter is used as a reference, outperforming the traditional RoR method by 25%.

FewCLUE: A Chinese Few-shot Learning Evaluation Benchmark

1 code implementation15 Jul 2021 Liang Xu, Xiaojing Lu, Chenyang Yuan, Xuanwei Zhang, Huilin Xu, Hu Yuan, Guoao Wei, Xiang Pan, Xin Tian, Libo Qin, Hu Hai

While different learning schemes -- fine-tuning, zero-shot, and few-shot learning -- have been widely explored and compared for languages such as English, there is comparatively little work in Chinese to fairly and comprehensively evaluate and compare these methods and thus hinders cumulative progress.

Few-Shot Learning Machine Reading Comprehension +4

Remote Blood Oxygen Estimation From Videos Using Neural Networks

no code implementations11 Jul 2021 Joshua Mathew, Xin Tian, Min Wu, Chau-Wai Wong

Blood oxygen saturation (SpO$_2$) is an essential indicator of respiratory functionality and is receiving increasing attention during the COVID-19 pandemic.

A Unified Pre-training Framework for Conversational AI

1 code implementation6 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.

Chatbot Interactive Evaluation of Dialog +1

Omniscient Video Super-Resolution

no code implementations ICCV 2021 Peng Yi, Zhongyuan Wang, Kui Jiang, Junjun Jiang, Tao Lu, Xin Tian, Jiayi Ma

Most recent video super-resolution (SR) methods either adopt an iterative manner to deal with low-resolution (LR) frames from a temporally sliding window, or leverage the previously estimated SR output to help reconstruct the current frame recurrently.

Video Super-Resolution

When Face Recognition Meets Occlusion: A New Benchmark

1 code implementation4 Mar 2021 Baojin Huang, Zhongyuan Wang, Guangcheng Wang, Kui Jiang, Kangli Zeng, Zhen Han, Xin Tian, Yuhong Yang

In particular, we first collect a variety of glasses and masks as occlusion, and randomly combine the occlusion attributes (occlusion objects, textures, and colors) to achieve a large number of more realistic occlusion types.

Diversity Face Recognition

Cross-domain Joint Dictionary Learning for ECG Inference from PPG

no code implementations7 Jan 2021 Xin Tian, Qiang Zhu, Yuenan Li, Min Wu

The inverse problem of inferring electrocardiogram (ECG) from photoplethysmogram (PPG) is an emerging research direction that combines the easy measurability of PPG and the rich clinical knowledge of ECG for long-term continuous cardiac monitoring.

Clinical Knowledge Dictionary Learning

Inferring ECG from PPG for Continuous Cardiac Monitoring Using Lightweight Neural Network

no code implementations9 Dec 2020 Yuenan Li, Xin Tian, Qiang Zhu, Min Wu

This paper presents a computational solution that enables continuous cardiac monitoring through cross-modality inference of electrocardiogram (ECG).

Model Compression

Weakly-supervised Salient Instance Detection

no code implementations29 Sep 2020 Xin Tian, Ke Xu, Xin Yang, Bao-Cai Yin, Rynson W. H. Lau

Inspired by this insight, we propose to use class and subitizing labels as weak supervision for the SID problem.

Boundary Detection Object Localization +1

Discovering Underlying Plans Based on Distributed Representations of Actions

no code implementations18 Nov 2015 Xin Tian, Hankz Hankui Zhuo, Subbarao Kambhampati

Previous approaches either discover plans by maximally "matching" observed actions to plan libraries, assuming target plans are from plan libraries, or infer plans by executing domain models to best explain the observed actions, assuming complete domain models are available.

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