research
∙
09/17/2023
Towards Debiasing Frame Length Bias in Text-Video Retrieval via Causal Intervention
Many studies focus on improving pretraining or developing new backbones ...
share
research
∙
09/06/2023
Vote2Cap-DETR++: Decoupling Localization and Describing for End-to-End 3D Dense Captioning
3D dense captioning requires a model to translate its understanding of a...
research
∙
07/19/2023
Self-Supervised Learning for WiFi CSI-Based Human Activity Recognition: A Systematic Study
Recently, with the advancement of the Internet of Things (IoT), WiFi CSI...
research
∙
06/07/2023
An Overview of Challenges in Egocentric Text-Video Retrieval
Text-video retrieval contains various challenges, including biases comin...
research
∙
04/20/2023
Multi-view Vision-Prompt Fusion Network: Can 2D Pre-trained Model Boost 3D Point Cloud Data-scarce Learning?
Point cloud based 3D deep model has wide applications in many applicatio...
research
∙
03/31/2023
A Closer Look at Few-Shot 3D Point Cloud Classification
In recent years, research on few-shot learning (FSL) has been fast-growi...
research
∙
03/31/2023
What Makes for Effective Few-shot Point Cloud Classification?
Due to the emergence of powerful computing resources and large-scale ann...
research
∙
01/06/2023
End-to-End 3D Dense Captioning with Vote2Cap-DETR
3D dense captioning aims to generate multiple captions localized with th...
research
∙
06/29/2022
Exploiting Semantic Role Contextualized Video Features for Multi-Instance Text-Video Retrieval EPIC-KITCHENS-100 Multi-Instance Retrieval Challenge 2022
In this report, we present our approach for EPIC-KITCHENS-100 Multi-Inst...
research
∙
06/26/2022
Semantic Role Aware Correlation Transformer for Text to Video Retrieval
With the emergence of social media, voluminous video clips are uploaded ...
research
∙
06/26/2022
RoME: Role-aware Mixture-of-Expert Transformer for Text-to-Video Retrieval
Seas of videos are uploaded daily with the popularity of social channels...
research
∙
05/23/2022
OPQ: Compressing Deep Neural Networks with One-shot Pruning-Quantization
As Deep Neural Networks (DNNs) usually are overparameterized and have mi...
research
∙
03/31/2022
CRAFT: Cross-Attentional Flow Transformer for Robust Optical Flow
Optical flow estimation aims to find the 2D motion field by identifying ...
research
∙
11/30/2021
Point Cloud Instance Segmentation with Semi-supervised Bounding-Box Mining
Point cloud instance segmentation has achieved huge progress with the em...
research
∙
03/08/2021
A Survey of Embodied AI: From Simulators to Research Tasks
There has been an emerging paradigm shift from the era of "internet AI" ...
research
∙
09/24/2019
6D Pose Estimation with Correlation Fusion
6D object pose estimation is widely applied in robotic tasks such as gra...
research
∙
05/21/2019
Clustering with Similarity Preserving
Graph-based clustering has shown promising performance in many tasks. A ...
research
∙
01/26/2019
Scene Text Synthesis for Efficient and Effective Deep Network Training
A large amount of annotated training images is critical for training acc...
research
∙
12/14/2018
Spatial Fusion GAN for Image Synthesis
Recent advances in generative adversarial networks (GANs) have shown gre...
research
∙
11/12/2018
Holistic Multi-modal Memory Network for Movie Question Answering
Answering questions according to multi-modal context is a challenging pr...
research
∙
08/22/2018
k-meansNet: When k-means Meets Differentiable Programming
In this paper, we study how to make clustering benefiting from different...
research
∙
06/26/2017
YoTube: Searching Action Proposal via Recurrent and Static Regression Networks
In this paper, we present YoTube-a novel network fusion framework for se...
research
∙
06/17/2017
Truly Multi-modal YouTube-8M Video Classification with Video, Audio, and Text
The YouTube-8M video classification challenge requires teams to classify...
research
∙
07/16/2015
Diagnosing State-Of-The-Art Object Proposal Methods
Object proposal has become a popular paradigm to replace exhaustive slid...
research
∙
02/03/2015
