b'Yi Yang'

research

∙ 05/02/2022

CenterCLIP: Token Clustering for Efficient Text-Video Retrieval

Recently, large-scale pre-training methods like CLIP have made great pro...

Shuai Zhao, et al. ∙

research

∙ 04/27/2022

3D Magic Mirror: Clothing Reconstruction from a Single Image via a Causal Perspective

This research aims to study a self-supervised 3D clothing reconstruction...

Zhedong Zheng, et al. ∙

research

∙ 04/25/2022

Rethinking Multi-Modal Alignment in Video Question Answering from Feature and Sample Perspectives

Reasoning about causal and temporal event relations in videos is a new d...

Shaoning Xiao, et al. ∙

research

∙ 04/18/2022

Multiple-environment Self-adaptive Network for Aerial-view Geo-localization

Aerial-view geo-localization tends to determine an unknown position thro...

Tingyu Wang, et al. ∙

research

∙ 04/16/2022

FCL-GAN: A Lightweight and Real-Time Baseline for Unsupervised Blind Image Deblurring

Blind image deblurring (BID) remains a challenging and significant task....

Suiyi Zhao, et al. ∙

research

∙ 04/16/2022

Bidirectional Self-Training with Multiple Anisotropic Prototypes for Domain Adaptive Semantic Segmentation

A thriving trend for domain adaptive segmentation endeavors to generate ...

Yulei Lu, et al. ∙

research

∙ 04/13/2022

Multi-View Consistent Generative Adversarial Networks for 3D-aware Image Synthesis

3D-aware image synthesis aims to generate images of objects from multipl...

Xuanmeng Zhang, et al. ∙

research

∙ 03/29/2022

In-N-Out Generative Learning for Dense Unsupervised Video Segmentation

In this paper, we focus on the unsupervised Video Object Segmentation (V...

Xiao Pan, et al. ∙

research

∙ 03/29/2022

Unified Transformer Tracker for Object Tracking

As an important area in computer vision, object tracking has formed two ...

Fan Ma, et al. ∙

research

∙ 03/28/2022

Automated Progressive Learning for Efficient Training of Vision Transformers

Recent advances in vision Transformers (ViTs) have come with a voracious...

Changlin Li, et al. ∙

research

∙ 03/27/2022

Deep Hierarchical Semantic Segmentation

Humans are able to recognize structured relations in observation, allowi...

Liulei Li, et al. ∙

research

∙ 03/27/2022

Locality-Aware Inter-and Intra-Video Reconstruction for Self-Supervised Correspondence Learning

Our target is to learn visual correspondence from unlabeled videos. We d...

Liulei Li, et al. ∙

research

∙ 03/26/2022

Visual Abductive Reasoning

Abductive reasoning seeks the likeliest possible explanation for partial...

Chen Liang, et al. ∙

research

∙ 03/24/2022

Compositional Temporal Grounding with Structured Variational Cross-Graph Correspondence Learning

Temporal grounding in videos aims to localize one target video segment t...

Juncheng Li, et al. ∙

research

∙ 03/22/2022

Associating Objects with Scalable Transformers for Video Object Segmentation

This paper investigates how to realize better and more efficient embeddi...

Zongxin Yang, et al. ∙

research

∙ 03/18/2022

Local-Global Context Aware Transformer for Language-Guided Video Segmentation

We explore the task of language-guided video segmentation (LVS). Previou...

Chen Liang, et al. ∙

research

∙ 03/03/2022

Bridging the Source-to-target Gap for Cross-domain Person Re-Identification with Intermediate Domains

Cross-domain person re-identification (re-ID), such as unsupervised doma...

Yongxing Dai, et al. ∙

research

∙ 02/25/2022

Active Learning for Point Cloud Semantic Segmentation via Spatial-Structural Diversity Reasoning

The expensive annotation cost is notoriously known as a main constraint ...

Feifei Shao, et al. ∙

research

∙ 02/08/2022

Results and findings of the 2021 Image Similarity Challenge

The 2021 Image Similarity Challenge introduced a dataset to serve as a n...

Zoe Papakipos, et al. ∙

research

∙ 01/24/2022

COVID-19 Detection Using CT Image Based On YOLOv5 Network

Computer aided diagnosis (CAD) increases diagnosis efficiency, helping d...

Ruyi Qu, et al. ∙

research

∙ 01/17/2022

Action Keypoint Network for Efficient Video Recognition

Reducing redundancy is crucial for improving the efficiency of video rec...

Xu Chen, et al. ∙

research

∙ 01/01/2022

Boosting RGB-D Saliency Detection by Leveraging Unlabeled RGB Images

Training deep models for RGB-D salient object detection (SOD) often requ...

Xiaoqiang Wang, et al. ∙

research

∙ 11/13/2021

Bag of Tricks and A Strong baseline for Image Copy Detection

Image copy detection is of great importance in real-life social media. I...

Wenhao Wang, et al. ∙

research

∙ 11/13/2021

D^2LV: A Data-Driven and Local-Verification Approach for Image Copy Detection

Image copy detection is of great importance in real-life social media. I...

Wenhao Wang, et al. ∙

research

∙ 11/01/2021

Arch-Net: Model Distillation for Architecture Agnostic Model Deployment

Vast requirement of computation power of Deep Neural Networks is a major...

Weixin Xu, et al. ∙

research

∙ 10/18/2021

Sub-bit Neural Networks: Learning to Compress and Accelerate Binary Neural Networks

In the low-bit quantization field, training Binary Neural Networks (BNNs...

Yikai Wang, et al. ∙

research

∙ 10/17/2021

Dynamic Slimmable Denoising Network

Recently, tremendous human-designed and automatically searched neural ne...

Zutao Jiang, et al. ∙

research

∙ 09/29/2021

Contrastive Video-Language Segmentation

We focus on the problem of segmenting a certain object referred by a nat...

Chen Liang, et al. ∙

research

∙ 09/21/2021

Towards a Fairness-Aware Scoring System for Algorithmic Decision-Making

Scoring systems, as simple classification models, have significant advan...

Yi Yang, et al. ∙

research

∙ 09/13/2021

Weakly Supervised Person Search with Region Siamese Networks

Supervised learning is dominant in person search, but it requires elabor...

Chuchu Han, et al. ∙

research

∙ 09/13/2021

Single-stream CNN with Learnable Architecture for Multi-source Remote Sensing Data

In this paper, we propose an efficient and generalizable framework based...

Yi Yang, et al. ∙

research

∙ 09/03/2021

F3S: Free Flow Fever Screening

Identification of people with elevated body temperature can reduce or dr...

Kunal Rao, et al. ∙

research

∙ 09/01/2021

Point Cloud Pre-training by Mixing and Disentangling

The annotation for large-scale point clouds is still time-consuming and ...

Chao Sun, et al. ∙

research

∙ 08/26/2021

Understanding and Accelerating Neural Architecture Search with Training-Free and Theory-Grounded Metrics

This work targets designing a principled and unified training-free frame...

Wuyang Chen, et al. ∙

research

∙ 08/19/2021

Generating Superpixels for High-resolution Images with Decoupled Patch Calibration

Superpixel segmentation has recently seen important progress benefiting ...

Yaxiong Wang, et al. ∙

research

∙ 08/17/2021

PR-RRN: Pairwise-Regularized Residual-Recursive Networks for Non-rigid Structure-from-Motion

We propose PR-RRN, a novel neural-network based method for Non-rigid Str...

Haitian Zeng, et al. ∙

research

∙ 08/15/2021

Vector-Decomposed Disentanglement for Domain-Invariant Object Detection

To improve the generalization of detectors, for domain adaptive object d...

Aming Wu, et al. ∙

research

∙ 07/27/2021

Resisting Out-of-Distribution Data Problem in Perturbation of XAI

With the rapid development of eXplainable Artificial Intelligence (XAI),...

Luyu Qiu, et al. ∙

research

∙ 07/26/2021

Adaptive Hierarchical Graph Reasoning with Semantic Coherence for Video-and-Language Inference

Video-and-Language Inference is a recently proposed task for joint video...

Juncheng Li, et al. ∙

research

∙ 07/20/2021

Roadmap of Designing Cognitive Metrics for Explainable Artificial Intelligence (XAI)

More recently, Explainable Artificial Intelligence (XAI) research has sh...

Janet Hui-wen Hsiao, et al. ∙

research

∙ 06/26/2021

Saying the Unseen: Video Descriptions via Dialog Agents

Current vision and language tasks usually take complete visual data (e.g...

Ye Zhu, et al. ∙

research

∙ 06/20/2021

ReGO: Reference-Guided Outpainting for Scenery Image

We aim to tackle the challenging yet practical scenery image outpainting...

Yaxiong Wang, et al. ∙

research

∙ 06/18/2021

Graph-based Joint Pandemic Concern and Relation Extraction on Twitter

Public concern detection provides potential guidance to the authorities ...

Jingli Shi, et al. ∙

research

∙ 06/04/2021

Associating Objects with Transformers for Video Object Segmentation

This paper investigates how to realize better and more efficient embeddi...

Zongxin Yang, et al. ∙

research

∙ 06/04/2021

CLIP: A Dataset for Extracting Action Items for Physicians from Hospital Discharge Notes

Continuity of care is crucial to ensuring positive health outcomes for p...

James Mullenbach, et al. ∙

research

∙ 06/04/2021

Few-Shot Segmentation via Cycle-Consistent Transformer

Few-shot segmentation aims to train a segmentation model that can fast a...

Gengwei Zhang, et al. ∙

research

∙ 06/03/2021

Less is More: Sparse Sampling for Dense Reaction Predictions

Obtaining viewer responses from videos can be useful for creators and st...

Kezhou Lin, et al. ∙

research

∙ 06/02/2021

Rethinking Cross-modal Interaction from a Top-down Perspective for Referring Video Object Segmentation

Referring video object segmentation (RVOS) aims to segment video objects...

Chen Liang, et al. ∙

research

∙ 06/01/2021

Prior-Enhanced Few-Shot Segmentation with Meta-Prototypes

Few-shot segmentation (FSS) performance has been extensively promoted by...

Jian-Wei Zhang, et al. ∙

research

∙ 05/31/2021

VidFace: A Full-Transformer Solver for Video FaceHallucination with Unaligned Tiny Snapshots

In this paper, we investigate the task of hallucinating an authentic hig...

Yuan Gan, et al. ∙

Yi Yang

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