research
∙
09/10/2023
SA-Solver: Stochastic Adams Solver for Fast Sampling of Diffusion Models
Diffusion Probabilistic Models (DPMs) have achieved considerable success...
share
research
∙
05/29/2023
Diff-Instruct: A Universal Approach for Transferring Knowledge From Pre-trained Diffusion Models
Due to the ease of training, ability to scale, and high sample quality, ...
research
∙
06/10/2022
PILC: Practical Image Lossless Compression with an End-to-end GPU Oriented Neural Framework
Generative model based image lossless compression algorithms have seen a...
research
∙
04/05/2022
Split Hierarchical Variational Compression
Variational autoencoders (VAEs) have witnessed great success in performi...
research
∙
02/14/2022
Memory Replay with Data Compression for Continual Learning
Continual learning needs to overcome catastrophic forgetting of the past...
research
∙
11/02/2021
OSOA: One-Shot Online Adaptation of Deep Generative Models for Lossless Compression
Explicit deep generative models (DGMs), e.g., VAEs and Normalizing Flows...
research
∙
11/01/2021
iFlow: Numerically Invertible Flows for Efficient Lossless Compression via a Uniform Coder
It was estimated that the world produced 59 ZB (5.9 × 10^13 GB) of data ...
research
∙
03/30/2021
iVPF: Numerical Invertible Volume Preserving Flow for Efficient Lossless Compression
It is nontrivial to store rapidly growing big data nowadays, which deman...
research
∙
07/10/2020
Loss Function Search for Face Recognition
In face recognition, designing margin-based (e.g., angular, additive, ad...
research
∙
12/05/2019
Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection
Object detection has been dominated by anchor-based detectors for severa...
research
∙
11/26/2019
Mis-classified Vector Guided Softmax Loss for Face Recognition
Face recognition has witnessed significant progress due to the advances ...
research
∙
09/25/2019
WiderPerson: A Diverse Dataset for Dense Pedestrian Detection in the Wild
Pedestrian detection has achieved significant progress with the availabi...
research
∙
09/24/2019
Relational Learning for Joint Head and Human Detection
Head and human detection have been rapidly improved with the development...
research
∙
09/15/2019
PedHunter: Occlusion Robust Pedestrian Detector in Crowded Scenes
Pedestrian detection in crowded scenes is a challenging problem, because...
research
∙
09/13/2019
DARTS+: Improved Differentiable Architecture Search with Early Stopping
Recently, there has been a growing interest in automating the process of...
research
∙
09/10/2019
RefineFace: Refinement Neural Network for High Performance Face Detection
Face detection has achieved significant progress in recent years. Howeve...
research
∙
08/28/2019
CASIA-SURF: A Large-scale Multi-modal Benchmark for Face Anti-spoofing
Face anti-spoofing is essential to prevent face recognition systems from...
research
∙
02/19/2019
WIDER Face and Pedestrian Challenge 2018: Methods and Results
This paper presents a review of the 2018 WIDER Challenge on Face and Ped...
research
∙
02/02/2019
Joint Cluster Unary Loss for Efficient Cross-Modal Hashing
With the rapid growth of various types of multimodal data, cross-modal d...
research
∙
02/02/2019
Pairwise Teacher-Student Network for Semi-Supervised Hashing
Hashing method maps similar high-dimensional data to binary hashcodes wi...
research
∙
01/20/2019
Improved Selective Refinement Network for Face Detection
As a long-standing problem in computer vision, face detection has attrac...
research
∙
12/29/2018
Support Vector Guided Softmax Loss for Face Recognition
Face recognition has witnessed significant progresses due to the advance...
research
∙
12/02/2018
CASIA-SURF: A Dataset and Benchmark for Large-scale Multi-modal Face Anti-Spoofing
Face anti-spoofing is essential to prevent face recognition systems from...
research
∙
10/19/2018
ScratchDet:Exploring to Train Single-Shot Object Detectors from Scratch
Current state-of-the-art object objectors are fine-tuned from the off-th...
research
∙
09/07/2018
Selective Refinement Network for High Performance Face Detection
High performance face detection remains a very challenging problem, espe...
research
∙
07/23/2018
Occlusion-aware R-CNN: Detecting Pedestrians in a Crowd
Pedestrian detection in crowded scenes is a challenging problem since th...
research
∙
05/15/2018
Semantic Cluster Unary Loss for Efficient Deep Hashing
Hashing method maps similar data to binary hashcodes with smaller hammin...
research
∙
05/10/2018
Ensemble Soft-Margin Softmax Loss for Image Classification
Softmax loss is arguably one of the most popular losses to train CNN mod...
research
∙
11/18/2017
Single-Shot Refinement Neural Network for Object Detection
For object detection, the two-stage approach (e.g., Faster R-CNN) has be...
research
∙
09/28/2016