Search Results for author: Yuxiang Zhou

Found 25 papers, 9 papers with code

Set-Aligning Framework for Auto-Regressive Event Temporal Graph Generation

1 code implementation1 Apr 2024 Xingwei Tan, Yuxiang Zhou, Gabriele Pergola, Yulan He

Recent studies, which employ pre-trained language models to auto-regressively generate linearised graphs for constructing event temporal graphs, have shown promising results.

Graph Generation Text Generation

Large Language Models Fall Short: Understanding Complex Relationships in Detective Narratives

no code implementations16 Feb 2024 Runcong Zhao, Qinglin Zhu, Hainiu Xu, Jiazheng Li, Yuxiang Zhou, Yulan He, Lin Gui

Existing datasets for narrative understanding often fail to represent the complexity and uncertainty of relationships in real-life social scenarios.

Large Model based Sequential Keyframe Extraction for Video Summarization

no code implementations10 Jan 2024 Kailong Tan, Yuxiang Zhou, Qianchen Xia, Rui Liu, Yong Chen

Keyframe extraction aims to sum up a video's semantics with the minimum number of its frames.

Video Summarization

Causal Inference from Text: Unveiling Interactions between Variables

1 code implementation9 Nov 2023 Yuxiang Zhou, Yulan He

Adjusting for latent covariates is crucial for estimating causal effects from observational textual data.

Causal Inference Selection bias

The Mystery of In-Context Learning: A Comprehensive Survey on Interpretation and Analysis

no code implementations1 Nov 2023 Yuxiang Zhou, Jiazheng Li, Yanzheng Xiang, Hanqi Yan, Lin Gui, Yulan He

Understanding in-context learning (ICL) capability that enables large language models (LLMs) to excel in proficiency through demonstration examples is of utmost importance.

In-Context Learning

Lossless Adaptation of Pretrained Vision Models For Robotic Manipulation

no code implementations13 Apr 2023 Mohit Sharma, Claudio Fantacci, Yuxiang Zhou, Skanda Koppula, Nicolas Heess, Jon Scholz, Yusuf Aytar

We demonstrate that appropriate placement of our parameter efficient adapters can significantly reduce the performance gap between frozen pretrained representations and full end-to-end fine-tuning without changes to the original representation and thus preserving original capabilities of the pretrained model.

How to Spend Your Robot Time: Bridging Kickstarting and Offline Reinforcement Learning for Vision-based Robotic Manipulation

no code implementations6 May 2022 Alex X. Lee, Coline Devin, Jost Tobias Springenberg, Yuxiang Zhou, Thomas Lampe, Abbas Abdolmaleki, Konstantinos Bousmalis

Our analysis, both in simulation and in the real world, shows that our approach is the best across data budgets, while standard offline RL from teacher rollouts is surprisingly effective when enough data is given.

Offline RL Reinforcement Learning (RL)

TCM-SD: A Benchmark for Probing Syndrome Differentiation via Natural Language Processing

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.

Language Modelling

Learning rich touch representations through cross-modal self-supervision

1 code implementation21 Jan 2021 Martina Zambelli, Yusuf Aytar, Francesco Visin, Yuxiang Zhou, Raia Hadsell

The sense of touch is fundamental in several manipulation tasks, but rarely used in robot manipulation.

Self-Supervised Learning Robotics

Learning Dexterous Manipulation from Suboptimal Experts

no code implementations16 Oct 2020 Rae Jeong, Jost Tobias Springenberg, Jackie Kay, Daniel Zheng, Yuxiang Zhou, Alexandre Galashov, Nicolas Heess, Francesco Nori

Although in many cases the learning process could be guided by demonstrations or other suboptimal experts, current RL algorithms for continuous action spaces often fail to effectively utilize combinations of highly off-policy expert data and on-policy exploration data.

Offline RL Q-Learning

Deep Residual Dense U-Net for Resolution Enhancement in Accelerated MRI Acquisition

no code implementations13 Jan 2020 Pak Lun Kevin Ding, Zhiqiang Li, Yuxiang Zhou, Baoxin Li

Accelerated MRI scan may be achieved by acquiring less amount of k-space data (down-sampling in the k-space).

Self-Supervised Sim-to-Real Adaptation for Visual Robotic Manipulation

no code implementations21 Oct 2019 Rae Jeong, Yusuf Aytar, David Khosid, Yuxiang Zhou, Jackie Kay, Thomas Lampe, Konstantinos Bousmalis, Francesco Nori

In this work, we learn a latent state representation implicitly with deep reinforcement learning in simulation, and then adapt it to the real domain using unlabeled real robot data.

Domain Adaptation reinforcement-learning +1

Dense 3D Face Decoding over 2500FPS: Joint Texture & Shape Convolutional Mesh Decoders

no code implementations CVPR 2019 Yuxiang Zhou, Jiankang Deng, Irene Kotsia, Stefanos Zafeiriou

3D Morphable Models (3DMMs) are statistical models that represent facial texture and shape variations using a set of linear bases and more particular Principal Component Analysis (PCA).

MeshGAN: Non-linear 3D Morphable Models of Faces

no code implementations25 Mar 2019 Shiyang Cheng, Michael Bronstein, Yuxiang Zhou, Irene Kotsia, Maja Pantic, Stefanos Zafeiriou

Generative Adversarial Networks (GANs) are currently the method of choice for generating visual data.

DenseReg: Fully Convolutional Dense Shape Regression In-the-Wild

no code implementations CVPR 2017 Riza Alp Guler, Yuxiang Zhou, George Trigeorgis, Epameinondas Antonakos, Patrick Snape, Stefanos Zafeiriou, Iasonas Kokkinos

We define the regression task in terms of the intrinsic, U-V coordinates of a 3D deformable model that is brought into correspondence with image instances at training time.

Face Alignment Pose Estimation +2

UV-GAN: Adversarial Facial UV Map Completion for Pose-invariant Face Recognition

no code implementations CVPR 2018 Jiankang Deng, Shiyang Cheng, Niannan Xue, Yuxiang Zhou, Stefanos Zafeiriou

We demonstrate that by attaching the completed UV to the fitted mesh and generating instances of arbitrary poses, we can increase pose variations for training deep face recognition/verification models, and minimise pose discrepancy during testing, which lead to better performance.

3D Face Alignment Face Alignment +4

The Unconstrained Ear Recognition Challenge

no code implementations23 Aug 2017 Žiga Emeršič, Dejan Štepec, Vitomir Štruc, Peter Peer, Anjith George, Adil Ahmad, Elshibani Omar, Terrance E. Boult, Reza Safdari, Yuxiang Zhou, Stefanos Zafeiriou, Dogucan Yaman, Fevziye I. Eyiokur, Hazim K. Ekenel

In this paper we present the results of the Unconstrained Ear Recognition Challenge (UERC), a group benchmarking effort centered around the problem of person recognition from ear images captured in uncontrolled conditions.

Benchmarking Person Recognition

Joint Multi-view Face Alignment in the Wild

no code implementations20 Aug 2017 Jiankang Deng, George Trigeorgis, Yuxiang Zhou, Stefanos Zafeiriou

This encompasses two basic problems: i) the detection and deformable fitting steps are performed independently, while the detector might not provide best-suited initialisation for the fitting step, ii) the face appearance varies hugely across different poses, which makes the deformable face fitting very challenging and thus distinct models have to be used (\eg, one for profile and one for frontal faces).

Face Alignment Face Detection

Estimating Correspondences of Deformable Objects "In-The-Wild"

no code implementations CVPR 2016 Yuxiang Zhou, Epameinondas Antonakos, Joan Alabort-i-Medina, Anastasios Roussos, Stefanos Zafeiriou

In this paper, we show for the first time, to the best of our knowledge, that it is possible to construct SDMs by putting object shapes in dense correspondence.

Semantic Segmentation

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