b'Yifan Sun'

research

∙ 07/26/2022

V^2L: Leveraging Vision and Vision-language Models into Large-scale Product Retrieval

Product retrieval is of great importance in the ecommerce domain. This p...

Wenhao Wang, et al. ∙

research

∙ 07/26/2022

Visualization Design Practices in a Crisis: Behind the Scenes with COVID-19 Dashboard Creators

During the COVID-19 pandemic, a number of data visualizations were creat...

Yixuan Zhang, et al. ∙

research

∙ 07/21/2022

UFO: Unified Feature Optimization

This paper proposes a novel Unified Feature Optimization (UFO) paradigm ...

Teng Xi, et al. ∙

research

∙ 06/29/2022

SRCN3D: Sparse R-CNN 3D Surround-View Camera Object Detection and Tracking for Autonomous Driving

Detection And Tracking of Moving Objects (DATMO) is an essential compone...

Yining Shi, et al. ∙

research

∙ 05/24/2022

A Benchmark and Asymmetrical-Similarity Learning for Practical Image Copy Detection

Image copy detection (ICD) aims to determine whether a query image is an...

Wenhao Wang, et al. ∙

research

∙ 05/24/2022

Learning for Expressive Task-Related Sentence Representations

NLP models learn sentence representations for downstream tasks by tuning...

Xueying Bai, et al. ∙

research

∙ 05/24/2022

Accelerating Frank-Wolfe via Averaging Step Directions

The Frank-Wolfe method is a popular method in sparse constrained optimiz...

Zhaoyue Chen, 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

∙ 02/08/2022

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

∙ 01/17/2022

Action Keypoint Network for Efficient Video Recognition

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

Xu Chen, et al. ∙

research

∙ 12/15/2021

Modality-Aware Triplet Hard Mining for Zero-shot Sketch-Based Image Retrieval

This paper tackles the Zero-Shot Sketch-Based Image Retrieval (ZS-SBIR) ...

Zongheng Huang, 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

∙ 10/04/2021

Spatial Ensemble: a Novel Model Smoothing Mechanism for Student-Teacher Framework

Model smoothing is of central importance for obtaining a reliable teache...

Tengteng Huang, et al. ∙

research

∙ 08/05/2021

IDM: An Intermediate Domain Module for Domain Adaptive Person Re-ID

Unsupervised domain adaptive person re-identification (UDA re-ID) aims a...

Yongxing Dai, et al. ∙

research

∙ 07/02/2021

Screening for a Reweighted Penalized Conditional Gradient Method

The conditional gradient method (CGM) is widely used in large-scale spar...

Yifan Sun, et al. ∙

research

∙ 06/29/2021

Approximate Frank-Wolfe Algorithms over Graph-structured Support Sets

In this paper, we propose approximate Frank-Wolfe (FW) algorithms to sol...

Baojian Zhou, et al. ∙

research

∙ 04/02/2021

Daisen: A Framework for Visualizing Detailed GPU Execution

Graphics Processing Units (GPUs) have been widely used to accelerate art...

Yifan Sun, et al. ∙

research

∙ 03/22/2021

Dynamic Metric Learning: Towards a Scalable Metric Space to Accommodate Multiple Semantic Scales

This paper introduces a new fundamental characteristic, , the dynamic ra...

Yifan Sun, et al. ∙

research

∙ 01/12/2021

Mapping the Landscape of COVID-19 Crisis Visualizations

In response to COVID-19, a vast number of visualizations have been creat...

Yixuan Zhang, et al. ∙

research

∙ 11/24/2020

Latent Group Structured Multi-task Learning

In multi-task learning (MTL), we improve the performance of key machine ...

Xiangyu Niu, et al. ∙

research

∙ 08/22/2020

Memory-based Jitter: Improving Visual Recognition on Long-tailed Data with Diversity In Memory

This paper considers deep visual recognition on long-tailed data, with t...

Jialun Liu, et al. ∙

research

∙ 08/05/2020

MGPU-TSM: A Multi-GPU System with Truly Shared Memory

The sizes of GPU applications are rapidly growing. They are exhausting t...

Saiful A. Mojumder, et al. ∙

research

∙ 07/15/2020

CycAs: Self-supervised Cycle Association for Learning Re-identifiable Descriptions

This paper proposes a self-supervised learning method for the person re-...

Zhongdao Wang, et al. ∙

research

∙ 07/08/2020

HALCONE : A Hardware-Level Timestamp-based Cache Coherence Scheme for Multi-GPU systems

While multi-GPU (MGPU) systems are extremely popular for compute-intensi...

Saiful A. Mojumder, et al. ∙

research

∙ 06/20/2020

Embodied Self-supervised Learning by Coordinated Sampling and Training

Self-supervised learning can significantly improve the performance of do...

Yifan Sun, et al. ∙

research

∙ 02/25/2020

Circle Loss: A Unified Perspective of Pair Similarity Optimization

This paper provides a pair similarity optimization viewpoint on deep fea...

Yifan Sun, et al. ∙

research

∙ 02/25/2020

Deep Representation Learning on Long-tailed Data: A Learnable Embedding Augmentation Perspective

This paper considers learning deep features from long-tailed data. We ob...

Jialun Liu, et al. ∙

research

∙ 02/22/2020

Safe Screening for the Generalized Conditional Gradient Method

The conditional gradient method (CGM) has been widely used for fast spar...

Yifan Sun, et al. ∙

research

∙ 12/11/2019

Polar Alignment and Atomic Decomposition

Structured optimization uses a prescribed set of atoms to assemble a sol...

Zhenan Fan, et al. ∙

research

∙ 11/26/2019

Summarizing CPU and GPU Design Trends with Product Data

Moore's Law and Dennard Scaling have guided the semiconductor industry f...

Yifan Sun, et al. ∙

research

∙ 10/09/2019

Vehicle Re-identification with Viewpoint-aware Metric Learning

This paper considers vehicle re-identification (re-ID) problem. The extr...

Ruihang Chu, et al. ∙

research

∙ 08/08/2019

NeuPDE: Neural Network Based Ordinary and Partial Differential Equations for Modeling Time-Dependent Data

We propose a neural network based approach for extracting models from dy...

Yifan Sun, et al. ∙

research

∙ 06/01/2019

Learning low-dimensional state embeddings and metastable clusters from time series data

This paper studies how to find compact state embeddings from high-dimens...

Yifan Sun, et al. ∙

research

∙ 04/01/2019

Perceive Where to Focus: Learning Visibility-aware Part-level Features for Partial Person Re-identification

This paper considers a realistic problem in person re-identification (re...

Yifan Sun, et al. ∙

research

∙ 10/15/2018

MGSim + MGMark: A Framework for Multi-GPU System Research

The rapidly growing popularity and scale of data-parallel workloads dema...

Yifan Sun, et al. ∙

research

∙ 03/14/2018

Redundancy Techniques for Straggler Mitigation in Distributed Optimization and Learning

Performance of distributed optimization and learning systems is bottlene...

Can Karakus, et al. ∙

research

∙ 02/25/2018

Wide Compression: Tensor Ring Nets

Deep neural networks have demonstrated state-of-the-art performance in a...

Wenqi Wang, et al. ∙

research

∙ 12/21/2017

Deep Unsupervised Clustering Using Mixture of Autoencoders

Unsupervised clustering is one of the most fundamental challenges in mac...

Dejiao Zhang, et al. ∙

research

∙ 11/26/2017

Beyond Part Models: Person Retrieval with Refined Part Pooling

Employing part-level features for pedestrian image description offers fi...

Yifan Sun, et al. ∙

research

∙ 11/14/2017

Straggler Mitigation in Distributed Optimization Through Data Encoding

Slow running or straggler tasks can significantly reduce computation spe...

Can Karakus, et al. ∙

research

∙ 07/06/2017

A Simple Approach to Learn Polysemous Word Embeddings

Many NLP applications require disambiguating polysemous words. Existing ...

Yifan Sun, et al. ∙

research

∙ 03/16/2017

SVDNet for Pedestrian Retrieval

This paper proposes the SVDNet for retrieval problems, with focus on the...

Yifan Sun, et al. ∙

research

∙ 03/02/2017

Discovery of Evolving Semantics through Dynamic Word Embedding Learning

During the course of human language evolution, the semantic meanings of ...

Zijun Yao, et al. ∙

Yifan Sun

Featured Co-authors