research
∙
08/08/2023
SODFormer: Streaming Object Detection with Transformer Using Events and Frames
DAVIS camera, streaming two complementary sensing modalities of asynchro...
share
research
∙
07/21/2023
Deep Directly-Trained Spiking Neural Networks for Object Detection
Spiking neural networks (SNNs) are brain-inspired energy-efficient model...
research
∙
05/23/2023
Full Resolution Repetition Counting
Given an untrimmed video, repetitive actions counting aims to estimate t...
research
∙
05/22/2023
Cycle Consistency-based Uncertainty Quantification of Neural Networks in Inverse Imaging Problems
Uncertainty estimation is critical for numerous applications of deep neu...
research
∙
12/06/2022
Event-based Monocular Dense Depth Estimation with Recurrent Transformers
Event cameras, offering high temporal resolutions and high dynamic range...
research
∙
01/25/2022
Event-based Video Reconstruction via Potential-assisted Spiking Neural Network
Neuromorphic vision sensor is a new bio-inspired imaging paradigm that r...
research
∙
07/21/2021
Differentiable Annealed Importance Sampling and the Perils of Gradient Noise
Annealed importance sampling (AIS) and related algorithms are highly eff...
research
∙
07/21/2020
Joint Visual and Temporal Consistency for Unsupervised Domain Adaptive Person Re-Identification
Unsupervised domain adaptive person Re-IDentification (ReID) is challeng...
research
∙
07/03/2020
On the Relation between Quality-Diversity Evaluation and Distribution-Fitting Goal in Text Generation
The goal of text generation models is to fit the underlying real probabi...
research
∙
01/28/2020
Improving Generalizability of Fake News Detection Methods using Propensity Score Matching
Recently, due to the booming influence of online social networks, detect...
research
∙
08/27/2019
Global-Local Temporal Representations For Video Person Re-Identification
This paper proposes the Global-Local Temporal Representation (GLTR) to e...
research
∙
04/25/2019
GPU-based Efficient Join Algorithms on Hadoop
The growing data has brought tremendous pressure for query processing an...
research
∙
11/19/2018
Multi-scale 3D Convolution Network for Video Based Person Re-Identification
This paper proposes a two-stream convolution network to extract spatial ...
research
∙
12/20/2017
LVreID: Person Re-Identification with Long Sequence Videos
This paper mainly establishes a large-scale Long sequence Video database...
research
∙
09/25/2017