b'Yi Xu'

research

∙ 04/12/2023

Dynamic Voxel Grid Optimization for High-Fidelity RGB-D Supervised Surface Reconstruction

Direct optimization of interpolated features on multi-resolution voxel g...

3 Xiangyu Xu, et al. ∙

research

∙ 03/28/2023

Uncovering the Missing Pattern: Unified Framework Towards Trajectory Imputation and Prediction

Trajectory prediction is a crucial undertaking in understanding entity m...

0 Yi Xu, et al. ∙

research

∙ 03/20/2023

TWINS: A Fine-Tuning Framework for Improved Transferability of Adversarial Robustness and Generalization

Recent years have seen the ever-increasing importance of pre-trained mod...

0 Ziquan Liu, et al. ∙

research

∙ 03/15/2023

EgoViT: Pyramid Video Transformer for Egocentric Action Recognition

Capturing interaction of hands with objects is important to autonomously...

0 Chenbin Pan, et al. ∙

research

∙ 03/15/2023

Harnessing Low-Frequency Neural Fields for Few-Shot View Synthesis

Neural Radiance Fields (NeRF) have led to breakthroughs in the novel vie...

0 Liangchen Song, et al. ∙

research

∙ 03/13/2023

Interventional Bag Multi-Instance Learning On Whole-Slide Pathological Images

Multi-instance learning (MIL) is an effective paradigm for whole-slide p...

0 Tiancheng Lin, et al. ∙

research

∙ 03/10/2023

Understanding and Constructing Latent Modality Structures in Multi-modal Representation Learning

Contrastive loss has been increasingly used in learning representations ...

0 Qian Jiang, et al. ∙

research

∙ 01/28/2023

Making Reconstruction-based Method Great Again for Video Anomaly Detection

Anomaly detection in videos is a significant yet challenging problem. Pr...

0 Yizhou Wang, et al. ∙

research

∙ 11/23/2022

EurNet: Efficient Multi-Range Relational Modeling of Spatial Multi-Relational Data

Modeling spatial relationship in the data remains critical across many d...

4 Minghao Xu, et al. ∙

research

∙ 11/23/2022

ActiveRMAP: Radiance Field for Active Mapping And Planning

A high-quality 3D reconstruction of a scene from a collection of 2D imag...

0 Huangying Zhan, et al. ∙

research

∙ 11/20/2022

Temporal Knowledge Graph Reasoning with Historical Contrastive Learning

Temporal knowledge graph, serving as an effective way to store and model...

0 Yi Xu, et al. ∙

research

∙ 11/18/2022

Look More but Care Less in Video Recognition

Existing action recognition methods typically sample a few frames to rep...

0 Yitian Zhang, et al. ∙

research

∙ 10/28/2022

NeRFPlayer: A Streamable Dynamic Scene Representation with Decomposed Neural Radiance Fields

Visually exploring in a real-world 4D spatiotemporal space freely in VR ...

0 Liangchen Song, et al. ∙

research

∙ 10/25/2022

CLIP-FLow: Contrastive Learning by semi-supervised Iterative Pseudo labeling for Optical Flow Estimation

Synthetic datasets are often used to pretrain end-to-end optical flow ne...

0 Zhiqi Zhang, et al. ∙

research

∙ 10/12/2022

Fairness via Adversarial Attribute Neighbourhood Robust Learning

Improving fairness between privileged and less-privileged sensitive attr...

0 Qi Qi, et al. ∙

research

∙ 09/22/2022

INFINITY: A Simple Yet Effective Unsupervised Framework for Graph-Text Mutual Conversion

Graph-to-text (G2T) generation and text-to-graph (T2G) triple extraction...

0 Yi Xu, et al. ∙

research

∙ 07/18/2022

MonoIndoor++:Towards Better Practice of Self-Supervised Monocular Depth Estimation for Indoor Environments

Self-supervised monocular depth estimation has seen significant progress...

8 Runze Li, et al. ∙

research

∙ 07/09/2022

Human-centric Spatio-Temporal Video Grounding via the Combination of Mutual Matching Network and TubeDETR

In this technical report, we represent our solution for the Human-centri...

0 Fan Yu, et al. ∙

research

∙ 06/22/2022

Efficient and effective training of language and graph neural network models

Can we combine heterogenous graph structure with text to learn high-qual...

0 Vassilis N. Ioannidis, et al. ∙

research

∙ 06/21/2022

Semantics-Depth-Symbiosis: Deeply Coupled Semi-Supervised Learning of Semantics and Depth

Multi-task learning (MTL) paradigm focuses on jointly learning two or mo...

0 Nitin Bansal, et al. ∙

research

∙ 06/07/2022

DynaMaR: Dynamic Prompt with Mask Token Representation

Recent research has shown that large language models pretrained using un...

0 Xiaodi Sun, et al. ∙

research

∙ 05/28/2022

RIAV-MVS: Recurrent-Indexing an Asymmetric Volume for Multi-View Stereo

In this paper, we present a learning-based approach for multi-view stere...

0 Changjiang Cai, et al. ∙

research

∙ 05/26/2022

HIRL: A General Framework for Hierarchical Image Representation Learning

Learning self-supervised image representations has been broadly studied ...

29 Minghao Xu, et al. ∙

research

∙ 05/05/2022

CNN-Augmented Visual-Inertial SLAM with Planar Constraints

We present a robust visual-inertial SLAM system that combines the benefi...

0 Pan Ji, et al. ∙

research

∙ 05/05/2022

FisheyeDistill: Self-Supervised Monocular Depth Estimation with Ordinal Distillation for Fisheye Cameras

In this paper, we deal with the problem of monocular depth estimation fo...

0 Qingan Yan, et al. ∙

research

∙ 05/03/2022

GeoRefine: Self-Supervised Online Depth Refinement for Accurate Dense Mapping

We present a robust and accurate depth refinement system, named GeoRefin...

0 Pan Ji, et al. ∙

research

∙ 04/29/2022

AdaInt: Learning Adaptive Intervals for 3D Lookup Tables on Real-time Image Enhancement

The 3D Lookup Table (3D LUT) is a highly-efficient tool for real-time im...

17 Canqian Yang, et al. ∙

research

∙ 04/24/2022

EPiDA: An Easy Plug-in Data Augmentation Framework for High Performance Text Classification

Recent works have empirically shown the effectiveness of data augmentati...

0 Minyi Zhao, et al. ∙

research

∙ 04/20/2022

Exploration strategies for articulatory synthesis of complex syllable onsets

High-quality articulatory speech synthesis has many potential applicatio...

0 Daniel R. van Niekerk, et al. ∙

research

∙ 04/20/2022

Interventional Multi-Instance Learning with Deconfounded Instance-Level Prediction

When applying multi-instance learning (MIL) to make predictions for bags...

0 Tiancheng Lin, et al. ∙

research

∙ 04/18/2022

Enhancing Non-mass Breast Ultrasound Cancer Classification With Knowledge Transfer

Much progress has been made in the deep neural network (DNN) based diagn...

0 Yangrun Hu, et al. ∙

research

∙ 03/22/2022

PlaneMVS: 3D Plane Reconstruction from Multi-View Stereo

We present a novel framework named PlaneMVS for 3D plane reconstruction ...

0 Jiachen Liu, et al. ∙

research

∙ 03/12/2022

Deformable VisTR: Spatio temporal deformable attention for video instance segmentation

Video instance segmentation (VIS) task requires classifying, segmenting,...

0 Sudhir Yarram, et al. ∙

research

∙ 03/09/2022

Adaptive Trajectory Prediction via Transferable GNN

Pedestrian trajectory prediction is an essential component in a wide ran...

0 Yi Xu, et al. ∙

research

∙ 02/28/2022

Multi-modal Alignment using Representation Codebook

Aligning signals from different modalities is an important step in visio...

0 Jiali Duan, et al. ∙

research

∙ 02/21/2022

Vision-Language Pre-Training with Triple Contrastive Learning

Vision-language representation learning largely benefits from image-text...

10 Jinyu Yang, et al. ∙

research

∙ 02/01/2022

HCSC: Hierarchical Contrastive Selective Coding

Hierarchical semantic structures naturally exist in an image dataset, in...

0 Yuanfan Guo, et al. ∙

research

∙ 12/03/2021

Boosting Unsupervised Domain Adaptation with Soft Pseudo-label and Curriculum Learning

By leveraging data from a fully labeled source domain, unsupervised doma...

0 Shengjia Zhang, et al. ∙

research

∙ 11/25/2021

SLA^2P: Self-supervised Anomaly Detection with Adversarial Perturbation

Anomaly detection is a fundamental yet challenging problem in machine le...

0 Yizhou Wang, et al. ∙

research

∙ 10/30/2021

Magic Pyramid: Accelerating Inference with Early Exiting and Token Pruning

Pre-training and then fine-tuning large language models is commonly used...

0 Xuanli He, et al. ∙

research

∙ 10/26/2021

DP-SSL: Towards Robust Semi-supervised Learning with A Few Labeled Samples

The scarcity of labeled data is a critical obstacle to deep learning. Se...

0 Yi Xu, et al. ∙

research

∙ 10/06/2021

Weakly-supervised Text Classification Based on Keyword Graph

Weakly-supervised text classification has received much attention in rec...

0 Lu Zhang, et al. ∙

research

∙ 09/25/2021

Distribution-sensitive Information Retention for Accurate Binary Neural Network

Model binarization is an effective method of compressing neural networks...

0 Haotong Qin, et al. ∙

research

∙ 09/24/2021

MLIM: Vision-and-Language Model Pre-training with Masked Language and Image Modeling

Vision-and-Language Pre-training (VLP) improves model performance for do...

0 Tarik Arici, et al. ∙

research

∙ 08/04/2021

Recursive Fusion and Deformable Spatiotemporal Attention for Video Compression Artifact Reduction

A number of deep learning based algorithms have been proposed to recover...

12 Minyi Zhao, et al. ∙

research

∙ 07/26/2021

MonoIndoor: Towards Good Practice of Self-Supervised Monocular Depth Estimation for Indoor Environments

Self-supervised depth estimation for indoor environments is more challen...

5 Pan Ji, et al. ∙

research

∙ 06/22/2021

Adapting Stepsizes by Momentumized Gradients Improves Optimization and Generalization

Adaptive gradient methods, such as Adam, have achieved tremendous succes...

0 Yizhou Wang, et al. ∙

research

∙ 06/01/2021

Dialogue-oriented Pre-training

Pre-trained language models (PrLM) has been shown powerful in enhancing ...

0 Yi Xu, et al. ∙

research

∙ 05/31/2021

Boosting the Performance of Video Compression Artifact Reduction with Reference Frame Proposals and Frequency Domain Information

Many deep learning based video compression artifact removal algorithms h...

0 Yi Xu, et al. ∙

research

∙ 05/25/2021

Dynamic Dual Sampling Module for Fine-Grained Semantic Segmentation

Representation of semantic context and local details is the essential is...

0 Chen Shi, et al. ∙

Yi Xu

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