Search Results for author: Yan Wu

Found 39 papers, 10 papers with code

Dynamic Link Prediction for New Nodes in Temporal Graph Networks

no code implementations15 Oct 2023 Xiaobo Zhu, Yan Wu, Qinhu Zhang, Zhanheng Chen, Ying He

To overcome the few-shot challenge, we incorporate the encoder-predictor into the meta-learning paradigm, which can learn two types of implicit information during the formation of the temporal network through span adaptation and node adaptation.

Dynamic Link Prediction Meta-Learning +1

Protein Discovery with Discrete Walk-Jump Sampling

1 code implementation8 Jun 2023 Nathan C. Frey, Daniel Berenberg, Karina Zadorozhny, Joseph Kleinhenz, Julien Lafrance-Vanasse, Isidro Hotzel, Yan Wu, Stephen Ra, Richard Bonneau, Kyunghyun Cho, Andreas Loukas, Vladimir Gligorijevic, Saeed Saremi

We resolve difficulties in training and sampling from a discrete generative model by learning a smoothed energy function, sampling from the smoothed data manifold with Langevin Markov chain Monte Carlo (MCMC), and projecting back to the true data manifold with one-step denoising.


Visual-Policy Learning through Multi-Camera View to Single-Camera View Knowledge Distillation for Robot Manipulation Tasks

no code implementations13 Mar 2023 Cihan Acar, Kuluhan Binici, Alp Tekirdağ, Yan Wu

Our proposed method involves utilizing a technique known as knowledge distillation, in which a pre-trained ``teacher'' policy trained with multiple camera viewpoints guides a ``student'' policy in learning from a single camera viewpoint.

Data Augmentation Knowledge Distillation +2

On a continuous time model of gradient descent dynamics and instability in deep learning

1 code implementation3 Feb 2023 Mihaela Rosca, Yan Wu, Chongli Qin, Benoit Dherin

The recipe behind the success of deep learning has been the combination of neural networks and gradient-based optimization.

AI Enabled Maneuver Identification via the Maneuver Identification Challenge

no code implementations28 Nov 2022 Kaira Samuel, Matthew LaRosa, Kyle McAlpin, Morgan Schaefer, Brandon Swenson, Devin Wasilefsky, Yan Wu, Dan Zhao, Jeremy Kepner

Artificial intelligence (AI) has enormous potential to improve Air Force pilot training by providing actionable feedback to pilot trainees on the quality of their maneuvers and enabling instructor-less flying familiarization for early-stage trainees in low-cost simulators.

Learning Deep Sensorimotor Policies for Vision-based Autonomous Drone Racing

no code implementations26 Oct 2022 Jiawei Fu, Yunlong Song, Yan Wu, Fisher Yu, Davide Scaramuzza

The resulting policy directly infers control commands with feature representations learned from raw images, forgoing the need for globally-consistent state estimation, trajectory planning, and handcrafted control design.

Contrastive Learning Trajectory Planning

Multi-frequency PolSAR Image Fusion Classification Based on Semantic Interactive Information and Topological Structure

no code implementations5 Sep 2022 Yice Cao, Yan Wu, Ming Li, Mingjie Zheng, Peng Zhang, Jili Wang

Finally, an adaptive weighting fusion (AWF) strategy is proposed to merge inference from different bands, so as to make the MF joint classification decisions of SIC and TPC.

Classification Image Classification +1

The least-used key selection method for information retrieval in large-scale Cloud-based service repositories

no code implementations16 Aug 2022 Jiayan Gu, Ashiq Anjum, Yan Wu, Lu Liu, John Panneerselvam, Yao Lu, Bo Yuan

The experimental results show that the proposed least-used key selection method improves the service retrieval efficiency significantly compared with the designated key selection method in the case of the unequal appearing probability of parameters in service retrieval requests under three indexing models.

Information Retrieval Management +1

TAILOR: Teaching with Active and Incremental Learning for Object Registration

no code implementations24 May 2022 Qianli Xu, Nicolas Gauthier, Wenyu Liang, Fen Fang, Hui Li Tan, Ying Sun, Yan Wu, Liyuan Li, Joo-Hwee Lim

When deploying a robot to a new task, one often has to train it to detect novel objects, which is time-consuming and labor-intensive.

Incremental Learning

CRAFT: Cross-Attentional Flow Transformer for Robust Optical Flow

1 code implementation CVPR 2022 Xiuchao Sui, Shaohua Li, Xue Geng, Yan Wu, Xinxing Xu, Yong liu, Rick Goh, Hongyuan Zhu

This is mainly because the correlation volume, the basis of pixel matching, is computed as the dot product of the convolutional features of the two images.

Optical Flow Estimation

End-to-end Reinforcement Learning of Robotic Manipulation with Robust Keypoints Representation

no code implementations12 Feb 2022 Tianying Wang, En Yen Puang, Marcus Lee, Yan Wu, Wei Jing

The proposed method learns keypoints from camera images as the state representation, through a self-supervised autoencoder architecture.

reinforcement-learning Reinforcement Learning (RL)

SAGA: Stochastic Whole-Body Grasping with Contact

no code implementations19 Dec 2021 Yan Wu, Jiahao Wang, Yan Zhang, Siwei Zhang, Otmar Hilliges, Fisher Yu, Siyu Tang

Given an initial pose and the generated whole-body grasping pose as the start and end of the motion respectively, we design a novel contact-aware generative motion infilling module to generate a diverse set of grasp-oriented motions.

Optimization of Service Addition in Multilevel Index Model for Edge Computing

no code implementations8 Jun 2021 Jiayan Gu, Yan Wu, Ashiq Anjum, John Panneerselvam, Yao Lu, Bo Yuan

With the development of Edge Computing and Artificial Intelligence (AI) technologies, edge devices are witnessed to generate data at unprecedented volume.

Edge-computing Retrieval

Discretization Drift in Two-Player Games

3 code implementations28 May 2021 Mihaela Rosca, Yan Wu, Benoit Dherin, David G. T. Barrett

Gradient-based methods for two-player games produce rich dynamics that can solve challenging problems, yet can be difficult to stabilize and understand.

Vocal Bursts Valence Prediction

A Feature Fusion-Net Using Deep Spatial Context Encoder and Nonstationary Joint Statistical Model for High Resolution SAR Image Classification

no code implementations11 May 2021 Wenkai Liang, Yan Wu, Ming Li, Peng Zhang, Yice Cao, Xin Hu

To address this problem, a novel end-to-end supervised classification method is proposed for HR SAR images by considering both spatial context and statistical features.

Image Classification

Trilevel Neural Architecture Search for Efficient Single Image Super-Resolution

no code implementations17 Jan 2021 Yan Wu, Zhiwu Huang, Suryansh Kumar, Rhea Sanjay Sukthanker, Radu Timofte, Luc van Gool

Modern solutions to the single image super-resolution (SISR) problem using deep neural networks aim not only at better performance accuracy but also at a lighter and computationally efficient model.

Image Super-Resolution Neural Architecture Search

Training Generative Adversarial Networks by Solving Ordinary Differential Equations

1 code implementation NeurIPS 2020 Chongli Qin, Yan Wu, Jost Tobias Springenberg, Andrew Brock, Jeff Donahue, Timothy P. Lillicrap, Pushmeet Kohli

From this perspective, we hypothesise that instabilities in training GANs arise from the integration error in discretising the continuous dynamics.

Neural Architecture Search of SPD Manifold Networks

1 code implementation27 Oct 2020 Rhea Sanjay Sukthanker, Zhiwu Huang, Suryansh Kumar, Erik Goron Endsjo, Yan Wu, Luc van Gool

To address this problem, we first introduce a geometrically rich and diverse SPD neural architecture search space for an efficient SPD cell design.

Emotion Recognition Neural Architecture Search

Dense Dual-Path Network for Real-time Semantic Segmentation

no code implementations21 Oct 2020 Xinneng Yang, Yan Wu, Junqiao Zhao, Feilin Liu

We design a light-weight and powerful backbone with dense connectivity to facilitate feature reuse throughout the whole network and the proposed Dual-Path module (DPM) to sufficiently aggregate multi-scale contexts.

Playing the Game of 2048 Real-Time Semantic Segmentation +1

Neural Architecture Search as Sparse Supernet

no code implementations31 Jul 2020 Yan Wu, Aoming Liu, Zhiwu Huang, Siwei Zhang, Luc van Gool

This paper aims at enlarging the problem of Neural Architecture Search (NAS) from Single-Path and Multi-Path Search to automated Mixed-Path Search.

Neural Architecture Search

Product Kanerva Machines: Factorized Bayesian Memory

no code implementations6 Feb 2020 Adam Marblestone, Yan Wu, Greg Wayne

An ideal cognitively-inspired memory system would compress and organize incoming items.


Efficient Robotic Task Generalization Using Deep Model Fusion Reinforcement Learning

no code implementations11 Dec 2019 Tianying Wang, Hao Zhang, Wei Qi Toh, Hongyuan Zhu, Cheston Tan, Yan Wu, Yong liu, Wei Jing

The proposed method is able to efficiently generalize the previously learned task by model fusion to solve the environment adaptation problem.

reinforcement-learning Reinforcement Learning (RL)

6D Pose Estimation with Correlation Fusion

no code implementations24 Sep 2019 Yi Cheng, Hongyuan Zhu, Ying Sun, Cihan Acar, Wei Jing, Yan Wu, Liyuan Li, Cheston Tan, Joo-Hwee Lim

To our best knowledge, this is the first work to explore effective intra- and inter-modality fusion in 6D pose estimation.

6D Pose Estimation 6D Pose Estimation using RGB

Deep Compressed Sensing

1 code implementation16 May 2019 Yan Wu, Mihaela Rosca, Timothy Lillicrap

CS is flexible and data efficient, but its application has been restricted by the strong assumption of sparsity and costly reconstruction process.


Learning Attractor Dynamics for Generative Memory

1 code implementation NeurIPS 2018 Yan Wu, Greg Wayne, Karol Gregor, Timothy Lillicrap

Based on the idea of memory writing as inference, as proposed in the Kanerva Machine, we show that a likelihood-based Lyapunov function emerges from maximising the variational lower-bound of a generative memory.


DFNet: Semantic Segmentation on Panoramic Images with Dynamic Loss Weights and Residual Fusion Block

no code implementations11 Jun 2018 Wei Jiang, Yan Wu

We propose the DFNet and make two main contributions, one is dynamic loss weights, and the other is residual fusion block (RFB).

Semantic Segmentation

VH-HFCN based Parking Slot and Lane Markings Segmentation on Panoramic Surround View

no code implementations19 Apr 2018 Yan Wu, Tao Yang, Junqiao Zhao, Linting Guan, Wei Jiang

At the same time, we proposed a highly fused convolutional network (HFCN) based segmentation method for parking slot and lane markings based on the PSV dataset.


The Kanerva Machine: A Generative Distributed Memory

no code implementations ICLR 2018 Yan Wu, Greg Wayne, Alex Graves, Timothy Lillicrap

We present an end-to-end trained memory system that quickly adapts to new data and generates samples like them.

Contractive De-noising Auto-encoder

no code implementations17 May 2013 Fu-qiang Chen, Yan Wu, Guo-dong Zhao, Jun-ming Zhang, Ming Zhu, Jing Bai

Auto-encoder is a special kind of neural network based on reconstruction.

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