37 citations · 242 across the 18 of their papers we have counts for
18 papers
ProS: Facial Omni-Representation Learning via Prototype-based Self-Distillation
Xing Di, Yiyu Zheng, Xiaoming Liu +1
This paper presents a novel approach, called Prototype-based Self-Distillation (ProS), for unsupervised face representation learning. The existing supervised methods heavily rely o…
Transform-Equivariant Consistency Learning for Temporal Sentence Grounding
Daizong Liu, Xiaoye Qu, Jianfeng Dong +6
This paper addresses the temporal sentence grounding (TSG). Although existing methods have made decent achievements in this task, they not only severely rely on abundant video-quer…
Hypotheses Tree Building for One-Shot Temporal Sentence Localization
Daizong Liu, Xiang Fang, Pan Zhou +3
Given an untrimmed video, temporal sentence localization (TSL) aims to localize a specific segment according to a given sentence query. Though respectable works have made decent ac…
Rethinking the Video Sampling and Reasoning Strategies for Temporal Sentence Grounding
Jiahao Zhu, Daizong Liu, Pan Zhou +8
Temporal sentence grounding (TSG) aims to identify the temporal boundary of a specific segment from an untrimmed video by a sentence query. All existing works first utilize a spars…
MIGPerf: A Comprehensive Benchmark for Deep Learning Training and Inference Workloads on Multi-Instance GPUs
Huaizheng Zhang, Yuanming Li, Wencong Xiao +7
New architecture GPUs like A100 are now equipped with multi-instance GPU (MIG) technology, which allows the GPU to be partitioned into multiple small, isolated instances. This tech…
Backdoor Attacks on Crowd Counting
Yuhua Sun, Tailai Zhang, Xingjun Ma +6
Crowd counting is a regression task that estimates the number of people in a scene image, which plays a vital role in a range of safety-critical applications, such as video surveil…
Unsupervised Temporal Video Grounding with Deep Semantic Clustering
Daizong Liu, Xiaoye Qu, Yinzhen Wang +5
Temporal video grounding (TVG) aims to localize a target segment in a video according to a given sentence query. Though respectable works have made decent achievements in this task…
Memory-Guided Semantic Learning Network for Temporal Sentence Grounding
Daizong Liu, Xiaoye Qu, Xing Di +3
Temporal sentence grounding (TSG) is crucial and fundamental for video understanding. Although the existing methods train well-designed deep networks with a large amount of data, w…
DeepStationing: Thoracic Lymph Node Station Parsing in CT Scans using Anatomical Context Encoding and Key Organ Auto-Search
Dazhou Guo, Xianghua Ye, Jia Ge +9
Lymph node station (LNS) delineation from computed tomography (CT) scans is an indispensable step in radiation oncology workflow. High inter-user variabilities across oncologists a…
Heterogeneous Face Frontalization via Domain Agnostic Learning
Xing Di, Shuowen Hu, Vishal M. Patel
Recent advances in deep convolutional neural networks (DCNNs) have shown impressive performance improvements on thermal to visible face synthesis and matching problems. However, cu…
Multimodal Face Synthesis from Visual Attributes
Xing Di, Vishal M. Patel
Synthesis of face images from visual attributes is an important problem in computer vision and biometrics due to its applications in law enforcement and entertainment. Recent advan…
A Large-Scale, Time-Synchronized Visible and Thermal Face Dataset
Domenick Poster, Matthew Thielke, Robert Nguyen +8
Thermal face imagery, which captures the naturally emitted heat from the face, is limited in availability compared to face imagery in the visible spectrum. To help address this sca…
Multi-Scale Thermal to Visible Face Verification via Attribute Guided Synthesis
Xing Di, Benjamin S. Riggan, Shuowen Hu +2
Thermal-to-visible face verification is a challenging problem due to the large domain discrepancy between the modalities. Existing approaches either attempt to synthesize visible f…
Facial Synthesis from Visual Attributes via Sketch using Multi-Scale Generators
Xing Di, Vishal M. Patel
Automatic synthesis of faces from visual attributes is an important problem in computer vision and has wide applications in law enforcement and entertainment. With the advent of de…
Polarimetric Thermal to Visible Face Verification via Self-Attention Guided Synthesis
Xing Di, Benjamin S. Riggan, Shuowen Hu +2
Polarimetric thermal to visible face verification entails matching two images that contain significant domain differences. Several recent approaches have attempted to synthesize vi…
Polarimetric Thermal to Visible Face Verification via Attribute Preserved Synthesis
Xing Di, He Zhang, Vishal M. Patel
Thermal to visible face verification is a challenging problem due to the large domain discrepancy between the modalities. Existing approaches either attempt to synthesize visible f…
Face Synthesis from Visual Attributes via Sketch using Conditional VAEs and GANs
Xing Di, Vishal M. Patel
Automatic synthesis of faces from visual attributes is an important problem in computer vision and has wide applications in law enforcement and entertainment. With the advent of de…
GP-GAN: Gender Preserving GAN for Synthesizing Faces from Landmarks
Xing Di, Vishwanath A. Sindagi, Vishal M. Patel
Facial landmarks constitute the most compressed representation of faces and are known to preserve information such as pose, gender and facial structure present in the faces. Severa…