research
∙
08/05/2023
Disentangled Counterfactual Reasoning for Unbiased Sequential Recommendation
Sequential recommender systems have achieved state-of-the-art recommenda...
share
research
∙
06/21/2023
Fast Segment Anything
The recently proposed segment anything model (SAM) has made a significan...
research
∙
05/23/2023
Automatic Model Selection with Large Language Models for Reasoning
Chain-of-Thought and Program-Aided Language Models represent two distinc...
research
∙
05/01/2023
Decomposition Enhances Reasoning via Self-Evaluation Guided Decoding
We endow Large Language Models (LLMs) with fine-grained self-evaluation ...
research
∙
04/29/2023
Searching from Area to Point: A Hierarchical Framework for Semantic-Geometric Combined Feature Matching
Feature matching is a crucial technique in computer vision. Essentially,...
research
∙
04/27/2023
TorchBench: Benchmarking PyTorch with High API Surface Coverage
Deep learning (DL) has been a revolutionary technique in various domains...
research
∙
04/10/2023
FreConv: Frequency Branch-and-Integration Convolutional Networks
Recent researches indicate that utilizing the frequency information of i...
research
∙
03/26/2023
ZBS: Zero-shot Background Subtraction via Instance-level Background Modeling and Foreground Selection
Background subtraction (BGS) aims to extract all moving objects in the v...
research
∙
02/28/2023
Item Cold Start Recommendation via Adversarial Variational Auto-encoder Warm-up
The gap between the randomly initialized item ID embedding and the well-...
research
∙
02/24/2023
Slate-Aware Ranking for Recommendation
We see widespread adoption of slate recommender systems, where an ordere...
research
∙
02/14/2023
Balanced Audiovisual Dataset for Imbalance Analysis
The imbalance problem is widespread in the field of machine learning, wh...
research
∙
11/11/2022
Does Deep Learning REALLY Outperform Non-deep Machine Learning for Clinical Prediction on Physiological Time Series?
Machine learning has been widely used in healthcare applications to appr...
research
∙
08/31/2022
Transfering Low-Frequency Features for Domain Adaptation
Previous unsupervised domain adaptation methods did not handle the cross...
research
∙
08/25/2022
FusePose: IMU-Vision Sensor Fusion in Kinematic Space for Parametric Human Pose Estimation
There exist challenging problems in 3D human pose estimation mission, su...
research
∙
05/27/2022
Improving Item Cold-start Recommendation via Model-agnostic Conditional Variational Autoencoder
Embedding MLP has become a paradigm for modern large-scale recommend...
research
∙
05/14/2022
ETAD: A Unified Framework for Efficient Temporal Action Detection
Untrimmed video understanding such as temporal action detection (TAD) of...
research
∙
02/01/2022
Learning-Based Framework for Camera Calibration with Distortion Correction and High Precision Feature Detection
Camera calibration is a crucial technique which significantly influences...
research
∙
01/18/2022
Pruning-aware Sparse Regularization for Network Pruning
Structural neural network pruning aims to remove the redundant channels ...
research
∙
10/29/2020
An End to End Network Architecture for Fundamental Matrix Estimation
In this paper, we present a novel end-to-end network architecture to est...
research
∙
10/14/2020
Semi-Supervised Bilingual Lexicon Induction with Two-way Interaction
Semi-supervision is a promising paradigm for Bilingual Lexicon Induction...
research
∙
10/14/2020
A Relaxed Matching Procedure for Unsupervised BLI
Recently unsupervised Bilingual Lexicon Induction (BLI) without any para...
research
∙
10/31/2019
Parameter Sharing Decoder Pair for Auto Composing
Auto Composing is an active and appealing research area in the past few ...
research
∙
07/29/2019
Multi-Granularity Fusion Network for Proposal and Activity Localization: Submission to ActivityNet Challenge 2019 Task 1 and Task 2
This technical report presents an overview of our solution used in the s...
research
∙
03/05/2019
EdgeStereo: An Effective Multi-Task Learning Network for Stereo Matching and Edge Detection
Recently, leveraging on the development of end-to-end convolutional neur...
research
∙
02/04/2019
A Tangent Distance Preserving Dimensionality Reduction Algorithm
This paper considers the problem of nonlinear dimensionality reduction. ...
research
∙
10/28/2018
Cascaded Pyramid Mining Network for Weakly Supervised Temporal Action Localization
Weakly supervised temporal action localization, which aims at temporally...
research
∙
08/27/2018
Discriminative Representation Combinations for Accurate Face Spoofing Detection
Three discriminative representations for face presentation attack detect...
research
∙
06/08/2018
BSN: Boundary Sensitive Network for Temporal Action Proposal Generation
Temporal action proposal generation is an important yet challenging prob...
research
∙
03/14/2018
EdgeStereo: A Context Integrated Residual Pyramid Network for Stereo Matching
Recently convolutional neural network (CNN) promotes the development of ...
research
∙
03/13/2018
Face Spoofing Detection by Fusing Binocular Depth and Spatial Pyramid Coding Micro-Texture Features
Robust features are of vital importance to face spoofing detection, beca...
research
∙
10/17/2017
Single Shot Temporal Action Detection
Temporal action detection is a very important yet challenging problem, s...
research
∙
08/09/2017
CoupleNet: Coupling Global Structure with Local Parts for Object Detection
The region-based Convolutional Neural Network (CNN) detectors such as Fa...
research
∙
07/24/2017
Joint Background Reconstruction and Foreground Segmentation via A Two-stage Convolutional Neural Network
Foreground segmentation in video sequences is a classic topic in compute...
research
∙
07/21/2017
Temporal Convolution Based Action Proposal: Submission to ActivityNet 2017
In this notebook paper, we describe our approach in the submission to th...
research
∙
11/26/2013