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08/18/2023
V2A-Mapper: A Lightweight Solution for Vision-to-Audio Generation by Connecting Foundation Models
Building artificial intelligence (AI) systems on top of a set of foundat...
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07/27/2023
Exploring Annotation-free Image Captioning with Retrieval-augmented Pseudo Sentence Generation
Training an image captioner without annotated image-sentence pairs has g...
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05/17/2023
Can Language Models Solve Graph Problems in Natural Language?
Large language models (LLMs) are increasingly adopted for a variety of t...
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04/22/2023
Detecting Spoilers in Movie Reviews with External Movie Knowledge and User Networks
Online movie review platforms are providing crowdsourced feedback for th...
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04/08/2023
PVD-AL: Progressive Volume Distillation with Active Learning for Efficient Conversion Between Different NeRF Architectures
Neural Radiance Fields (NeRF) have been widely adopted as practical and ...
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03/25/2023
PAniC-3D: Stylized Single-view 3D Reconstruction from Portraits of Anime Characters
We propose PAniC-3D, a system to reconstruct stylized 3D character heads...
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03/09/2023
Open-world Instance Segmentation: Top-down Learning with Bottom-up Supervision
Many top-down architectures for instance segmentation achieve significan...
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01/18/2023
Temporal Perceiving Video-Language Pre-training
Video-Language Pre-training models have recently significantly improved ...
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11/29/2022
One is All: Bridging the Gap Between Neural Radiance Fields Architectures with Progressive Volume Distillation
Neural Radiance Fields (NeRF) methods have proved effective as compact, ...
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10/15/2022
PointNeuron: 3D Neuron Reconstruction via Geometry and Topology Learning of Point Clouds
Digital neuron reconstruction from 3D microscopy images is an essential ...
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06/09/2022
TwiBot-22: Towards Graph-Based Twitter Bot Detection
Twitter bot detection has become an increasingly important task to comba...
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06/01/2022
Towards Generalisable Audio Representations for Audio-Visual Navigation
In audio-visual navigation (AVN), an intelligent agent needs to navigate...
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04/22/2022
Spatiality-guided Transformer for 3D Dense Captioning on Point Clouds
Dense captioning in 3D point clouds is an emerging vision-and-language t...
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04/12/2022
Open-World Instance Segmentation: Exploiting Pseudo Ground Truth From Learned Pairwise Affinity
Open-world instance segmentation is the task of grouping pixels into obj...
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04/08/2022
Canonical Mean Filter for Almost Zero-Shot Multi-Task classification
The support set is a key to providing conditional prior for fast adaptio...
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11/18/2021
PyTorchVideo: A Deep Learning Library for Video Understanding
We introduce PyTorchVideo, an open-source deep-learning library that pro...
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08/30/2021
Searching for Two-Stream Models in Multivariate Space for Video Recognition
Conventional video models rely on a single stream to capture the complex...
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06/29/2021
Towards Understanding the Effectiveness of Attention Mechanism
Attention Mechanism is a widely used method for improving the performanc...
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04/10/2021
Unidentified Video Objects: A Benchmark for Dense, Open-World Segmentation
Current state-of-the-art object detection and segmentation methods work ...
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04/02/2021
Beyond Short Clips: End-to-End Video-Level Learning with Collaborative Memories
The standard way of training video models entails sampling at each itera...
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02/09/2021
Is Space-Time Attention All You Need for Video Understanding?
We present a convolution-free approach to video classification built exc...
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03/14/2020
From W-Net to CDGAN: Bi-temporal Change Detection via Deep Learning Techniques
Traditional change detection methods usually follow the image differenci...
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12/19/2019
CJRC: A Reliable Human-Annotated Benchmark DataSet for Chinese Judicial Reading Comprehension
We present a Chinese judicial reading comprehension (CJRC) dataset which...
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12/14/2019
Region and Object based Panoptic Image Synthesis through Conditional GANs
Image-to-image translation is significant to many computer vision and ma...
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11/20/2019
CAIL2019-SCM: A Dataset of Similar Case Matching in Legal Domain
In this paper, we introduce CAIL2019-SCM, Chinese AI and Law 2019 Simila...
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06/10/2019
FASTER Recurrent Networks for Video Classification
Video classification methods often divide the video into short clips, do...
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06/07/2019
Video Modeling with Correlation Networks
Motion is a salient cue to recognize actions in video. Modern action rec...
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05/02/2019
Large-scale weakly-supervised pre-training for video action recognition
Current fully-supervised video datasets consist of only a few hundred th...
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04/04/2019
Video Classification with Channel-Separated Convolutional Networks
Group convolution has been shown to offer great computational savings in...
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04/03/2019
Multi-task Learning for Chinese Word Usage Errors Detection
Chinese word usage errors often occur in non-native Chinese learners' wr...
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04/03/2019
Defeats GAN: A Simpler Model Outperforms in Knowledge Representation Learning
The goal of knowledge representation learning is to embed entities and r...
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10/13/2018
Overview of CAIL2018: Legal Judgment Prediction Competition
In this paper, we give an overview of the Legal Judgment Prediction (LJP...
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07/04/2018
CAIL2018: A Large-Scale Legal Dataset for Judgment Prediction
In this paper, we introduce the Chinese AI and Law challenge dataset (CA...
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02/20/2018
Devon: Deformable Volume Network for Learning Optical Flow
We propose a lightweight neural network model, Deformable Volume Network...
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12/26/2017
SLAC: A Sparsely Labeled Dataset for Action Classification and Localization
This paper describes a procedure for the creation of large-scale video d...
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12/01/2017
Text Generation Based on Generative Adversarial Nets with Latent Variable
In this paper, we propose a model using generative adversarial net (GAN)...
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11/30/2017
A Closer Look at Spatiotemporal Convolutions for Action Recognition
In this paper we discuss several forms of spatiotemporal convolutions fo...
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07/25/2017
Concept Drift Detection and Adaptation with Hierarchical Hypothesis Testing
In a streaming environment, there is often a need for statistical predic...
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04/21/2015
A robust and efficient video representation for action recognition
This paper introduces a state-of-the-art video representation and applie...
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04/04/2015