research
∙
07/10/2023
KU-DMIS-MSRA at RadSum23: Pre-trained Vision-Language Model for Radiology Report Summarization
In this paper, we introduce CheXOFA, a new pre-trained vision-language m...
share
research
∙
06/27/2023
GroundNLQ @ Ego4D Natural Language Queries Challenge 2023
In this report, we present our champion solution for Ego4D Natural Langu...
research
∙
06/14/2023
AssistGPT: A General Multi-modal Assistant that can Plan, Execute, Inspect, and Learn
Recent research on Large Language Models (LLMs) has led to remarkable ad...
research
∙
03/29/2023
TaskMatrix.AI: Completing Tasks by Connecting Foundation Models with Millions of APIs
Artificial Intelligence (AI) has made incredible progress recently. On t...
research
∙
12/19/2022
MIST: Multi-modal Iterative Spatial-Temporal Transformer for Long-form Video Question Answering
To build Video Question Answering (VideoQA) systems capable of assisting...
research
∙
11/16/2022
An Efficient COarse-to-fiNE Alignment Framework @ Ego4D Natural Language Queries Challenge 2022
This technical report describes the CONE approach for Ego4D Natural Lang...
research
∙
09/22/2022
CONE: An Efficient COarse-to-fiNE Alignment Framework for Long Video Temporal Grounding
Video temporal grounding (VTG) targets to localize temporal moments in a...
research
∙
04/08/2022
From PHY to QoE: A Parameterized Framework Design
The rapid development of 5G communication technology has given birth to ...
research
∙
12/02/2021
ScaleVLAD: Improving Multimodal Sentiment Analysis via Multi-Scale Fusion of Locally Descriptors
Fusion technique is a key research topic in multimodal sentiment analysi...
research
∙
11/24/2021
NÃœWA: Visual Synthesis Pre-training for Neural visUal World creAtion
This paper presents a unified multimodal pre-trained model called NÃœWA t...
research
∙
08/05/2021
Hybrid Reasoning Network for Video-based Commonsense Captioning
The task of video-based commonsense captioning aims to generate event-wi...
research
∙
06/18/2021
GEM: A General Evaluation Benchmark for Multimodal Tasks
In this paper, we present GEM as a General Evaluation benchmark for Mult...
research
∙
04/30/2021
GODIVA: Generating Open-DomaIn Videos from nAtural Descriptions
Generating videos from text is a challenging task due to its high comput...
research
∙
04/18/2021
CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrieval
Video-text retrieval plays an essential role in multi-modal research and...
research
∙
09/22/2020
GRACE: Gradient Harmonized and Cascaded Labeling for Aspect-based Sentiment Analysis
In this paper, we focus on the imbalance issue, which is rarely studied ...
research
∙
09/16/2020
Tag and Correct: Question aware Open Information Extraction with Two-stage Decoding
Question Aware Open Information Extraction (Question aware Open IE) take...
research
∙
05/02/2020
A Benchmark for Structured Procedural Knowledge Extraction from Cooking Videos
Procedural knowledge, which we define as concrete information about the ...
research
∙
03/03/2020
XGPT: Cross-modal Generative Pre-Training for Image Captioning
While many BERT-based cross-modal pre-trained models produce excellent r...
research
∙
02/15/2020
UniViLM: A Unified Video and Language Pre-Training Model for Multimodal Understanding and Generation
We propose UniViLM: a Unified Video and Language pre-training Model for ...
research
∙
05/24/2018
