research
∙
08/31/2023
Enhancing Subtask Performance of Multi-modal Large Language Model
Multi-modal Large Language Model (MLLM) refers to a model expanded from ...
share
research
∙
07/31/2023
Towards General Low-Light Raw Noise Synthesis and Modeling
Modeling and synthesizing low-light raw noise is a fundamental problem f...
research
∙
06/22/2023
FuXi: A cascade machine learning forecasting system for 15-day global weather forecast
Over the past few years, due to the rapid development of machine learnin...
research
∙
05/23/2023
Constrained Proximal Policy Optimization
The problem of constrained reinforcement learning (CRL) holds significan...
research
∙
05/19/2023
Nonconvex Robust High-Order Tensor Completion Using Randomized Low-Rank Approximation
Within the tensor singular value decomposition (T-SVD) framework, existi...
research
∙
05/05/2023
Forecasting Inter-Destination Tourism Flow via a Hybrid Deep Learning Model
Tourists often go to multiple tourism destinations in one trip. The volu...
research
∙
06/24/2022
The Second Place Solution for The 4th Large-scale Video Object Segmentation Challenge–Track 3: Referring Video Object Segmentation
The referring video object segmentation task (RVOS) aims to segment obje...
research
∙
06/21/2022
Probing Visual-Audio Representation for Video Highlight Detection via Hard-Pairs Guided Contrastive Learning
Video highlight detection is a crucial yet challenging problem that aims...
research
∙
06/21/2022
Pyramid Region-based Slot Attention Network for Temporal Action Proposal Generation
It has been found that temporal action proposal generation, which aims t...
research
∙
04/22/2022
Dite-HRNet: Dynamic Lightweight High-Resolution Network for Human Pose Estimation
A high-resolution network exhibits remarkable capability in extracting m...
research
∙
12/03/2021
Unsupervised Low-Light Image Enhancement via Histogram Equalization Prior
Deep learning-based methods for low-light image enhancement typically re...
research
∙
11/25/2021
Detecting and Tracking Small and Dense Moving Objects in Satellite Videos: A Benchmark
Satellite video cameras can provide continuous observation for a large-s...
research
∙
10/26/2021
An Explicit-Joint and Supervised-Contrastive Learning Framework for Few-Shot Intent Classification and Slot Filling
Intent classification (IC) and slot filling (SF) are critical building b...
research
∙
06/13/2021
G-TADOC: Enabling Efficient GPU-Based Text Analytics without Decompression
Text analytics directly on compression (TADOC) has proven to be a promis...
research
∙
06/09/2021
UniKeyphrase: A Unified Extraction and Generation Framework for Keyphrase Prediction
Keyphrase Prediction (KP) task aims at predicting several keyphrases tha...
research
∙
03/02/2021
Efficient Deep Image Denoising via Class Specific Convolution
Deep neural networks have been widely used in image denoising during the...
research
∙
12/31/2020
TexSmart: A Text Understanding System for Fine-Grained NER and Enhanced Semantic Analysis
This technique report introduces TexSmart, a text understanding system t...
research
∙
10/16/2020
Information Coefficient as a Performance Measure of Stock Selection Models
Information coefficient (IC) is a widely used metric for measuring inves...
research
∙
09/20/2020
TADOC: Text Analytics Directly on Compression
This article provides a comprehensive description of Text Analytics Dire...
research
∙
06/11/2020
The perturbation analysis of nonconvex low-rank matrix robust recovery
In this paper, we bring forward a completely perturbed nonconvex Schatte...
research
∙
06/11/2020
The block mutual coherence property condition for signal recovery
Compressed sensing shows that a sparse signal can stably be recovered fr...
research
∙
03/13/2020
Joint COCO and Mapillary Workshop at ICCV 2019 Keypoint Detection Challenge Track Technical Report: Distribution-Aware Coordinate Representation for Human Pose Estimation
In this paper, we focus on the coordinate representation in human pose e...
research
∙
03/10/2020
An Optimal Condition of Robust Low-rank Matrices Recovery
In this paper we investigate the reconstruction conditions of nuclear no...
research
∙
03/06/2020
An analysis of noise folding for low-rank matrix recovery
Previous work regarding low-rank matrix recovery has concentrated on the...
research
∙
01/16/2020
Hardware-Conscious Stream Processing: A Survey
Data stream processing systems (DSPSs) enable users to express and run s...
research
∙
10/14/2019
Distribution-Aware Coordinate Representation for Human Pose Estimation
While being the de facto standard coordinate representation in human pos...
research
∙
06/10/2019
HTDet: A Clustering Method using Information Entropy for Hardware Trojan Detection
Hardware Trojans (HTs) have drawn more and more attention in both academ...
research
∙
06/05/2019
RIP-based performance guarantee for low-tubal-rank tensor recovery
The essential task of multi-dimensional data analysis focuses on the ten...
research
∙
06/04/2019
Tensor Restricted Isometry Property Analysis For a Large Class of Random Measurement Ensembles
In previous work, theoretical analysis based on the tensor Restricted Is...
research
∙
04/08/2019
Scaling Stream Processing with Transactional State Management on Multicores
Transactional state management relieves users from managing state consis...
research
∙
02/02/2019
Hierarchical Photo-Scene Encoder for Album Storytelling
In this paper, we propose a novel model with a hierarchical photo-scene ...
research
∙
01/06/2019
Motion Control on Bionic Eyes: A Comprehensive Review
Biology can provide biomimetic components and new control principles for...
research
∙
12/10/2018
Coherence-Based Performance Guarantee of Regularized ℓ_1-Norm Minimization and Beyond
In this paper, we consider recovering the signal x∈R^n from its few nois...
research
∙
11/13/2018
