553 citations · 795 across the 13 of their papers we have counts for
13 papers
Efficient Region-Aware Neural Radiance Fields for High-Fidelity Talking Portrait Synthesis
Jiahe Li, Jiawei Zhang, Xiao Bai +2
This paper presents ER-NeRF, a novel conditional Neural Radiance Fields (NeRF) based architecture for talking portrait synthesis that can concurrently achieve fast convergence, rea…
Goal-Oriented Gaze Estimation for Zero-Shot Learning
Yang Liu, Lei Zhou, Xiao Bai +4
Zero-shot learning (ZSL) aims to recognize novel classes by transferring semantic knowledge from seen classes to unseen classes. Since semantic knowledge is built on attributes sha…
HMFlow: Hybrid Matching Optical Flow Network for Small and Fast-Moving Objects
Suihanjin Yu, Youmin Zhang, Chen Wang +3
In optical flow estimation task, coarse-to-fine (C2F) warping strategy is widely used to deal with the large displacement problem and provides efficiency and speed. However, limite…
Beyond Triplet Loss: Person Re-identification with Fine-grained Difference-aware Pairwise Loss
Cheng Yan, Guansong Pang, Xiao Bai +2
Person Re-IDentification (ReID) aims at re-identifying persons from different viewpoints across multiple cameras. Capturing the fine-grained appearance differences is often the key…
Information Bottleneck Constrained Latent Bidirectional Embedding for Zero-Shot Learning
Yang Liu, Lei Zhou, Xiao Bai +3
Zero-shot learning (ZSL) aims to recognize novel classes by transferring semantic knowledge from seen classes to unseen classes. Though many ZSL methods rely on a direct mapping be…
Binary Neural Networks: A Survey
Haotong Qin, Ruihao Gong, Xianglong Liu +3
The binary neural network, largely saving the storage and computation, serves as a promising technique for deploying deep models on resource-limited devices. However, the binarizat…
Self-trained Deep Ordinal Regression for End-to-End Video Anomaly Detection
Guansong Pang, Cheng Yan, Chunhua Shen +2
Video anomaly detection is of critical practical importance to a variety of real applications because it allows human attention to be focused on events that are likely to be of int…
Unified Multifaceted Feature Learning for Person Re-Identification
Cheng Yan, Guansong Pang, Xiao Bai +1
Person re-identification (ReID) aims at re-identifying persons from different viewpoints across multiple cameras, of which it is of great importance to learn multifaceted features…
Adaptive Unimodal Cost Volume Filtering for Deep Stereo Matching
Youmin Zhang, Yimin Chen, Xiao Bai +4
State-of-the-art deep learning based stereo matching approaches treat disparity estimation as a regression problem, where loss function is directly defined on true disparities and…
A One-step Pruning-recovery Framework for Acceleration of Convolutional Neural Networks
Dong Wang, Lei Zhou, Xiao Bai +1
Acceleration of convolutional neural network has received increasing attention during the past several years. Among various acceleration techniques, filter pruning has its inherent…
Exploring Linear Relationship in Feature Map Subspace for ConvNets Compression
Dong Wang, Lei Zhou, Xueni Zhang +2
While the research on convolutional neural networks (CNNs) is progressing quickly, the real-world deployment of these models is often limited by computing resources and memory cons…
Fast Subspace Clustering Based on the Kronecker Product
Lei Zhou, Xiao Bai, Xianglong Liu +2
Subspace clustering is a useful technique for many computer vision applications in which the intrinsic dimension of high-dimensional data is often smaller than the ambient dimensio…
On the Sampling Strategy for Evaluation of Spectral-spatial Methods in Hyperspectral Image Classification
Jie Liang, Jun Zhou, Yuntao Qian +3
Spectral-spatial processing has been increasingly explored in remote sensing hyperspectral image classification. While extensive studies have focused on developing methods to impro…