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06/28/2023
AFPN: Asymptotic Feature Pyramid Network for Object Detection
Multi-scale features are of great importance in encoding objects with sc...
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04/10/2023
ViT-Calibrator: Decision Stream Calibration for Vision Transformer
A surge of interest has emerged in utilizing Transformers in diverse vis...
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04/09/2023
Propheter: Prophetic Teacher Guided Long-Tailed Distribution Learning
The problem of deep long-tailed learning, a prevalent challenge in the r...
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02/15/2023
Toward matrix multiplication for deep learning inference on the Xilinx Versal
The remarkable positive impact of Deep Neural Networks on many Artificia...
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12/31/2022
Guided Hybrid Quantization for Object detection in Multimodal Remote Sensing Imagery via One-to-one Self-teaching
Considering the computation complexity, we propose a Guided Hybrid Quant...
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12/15/2022
Vision Transformers are Parameter-Efficient Audio-Visual Learners
Vision transformers (ViTs) have achieved impressive results on various c...
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12/09/2022
VindLU: A Recipe for Effective Video-and-Language Pretraining
The last several years have witnessed remarkable progress in video-and-l...
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11/21/2022
Perceiver-VL: Efficient Vision-and-Language Modeling with Iterative Latent Attention
We present Perceiver-VL, a vision-and-language framework that efficientl...
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09/27/2022
SuperYOLO: Super Resolution Assisted Object Detection in Multimodal Remote Sensing Imagery
In this paper, we propose an accurate yet fast small object detection me...
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07/27/2022
Mid-level Representation Enhancement and Graph Embedded Uncertainty Suppressing for Facial Expression Recognition
Facial expression is an essential factor in conveying human emotional st...
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06/07/2022
Revealing Single Frame Bias for Video-and-Language Learning
Training an effective video-and-language model intuitively requires mult...
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05/22/2022
Language Models with Image Descriptors are Strong Few-Shot Video-Language Learners
The goal of this work is to build flexible video-language models that ca...
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04/06/2022
ECLIPSE: Efficient Long-range Video Retrieval using Sight and Sound
We introduce an audiovisual method for long-range text-to-video retrieva...
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03/25/2022
CNN LEGO: Disassembling and Assembling Convolutional Neural Network
Convolutional Neural Network (CNN), which mimics human visual perception...
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03/10/2022
LoopITR: Combining Dual and Cross Encoder Architectures for Image-Text Retrieval
Dual encoders and cross encoders have been widely used for image-text re...
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12/15/2021
Transcoded Video Restoration by Temporal Spatial Auxiliary Network
In most video platforms, such as Youtube, and TikTok, the played videos ...
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08/01/2021
Boundary Knowledge Translation based Reference Semantic Segmentation
Given a reference object of an unknown type in an image, human observers...
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08/01/2021
Edge-competing Pathological Liver Vessel Segmentation with Limited Labels
The microvascular invasion (MVI) is a major prognostic factor in hepatoc...
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07/30/2021
MTVR: Multilingual Moment Retrieval in Videos
We introduce mTVR, a large-scale multilingual video moment retrieval dat...
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07/20/2021
QVHighlights: Detecting Moments and Highlights in Videos via Natural Language Queries
Detecting customized moments and highlights from videos given natural la...
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06/21/2021
VIMPAC: Video Pre-Training via Masked Token Prediction and Contrastive Learning
Video understanding relies on perceiving the global content and modeling...
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06/08/2021
VALUE: A Multi-Task Benchmark for Video-and-Language Understanding Evaluation
Most existing video-and-language (VidL) research focuses on a single dat...
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06/01/2021
Adversarial VQA: A New Benchmark for Evaluating the Robustness of VQA Models
With large-scale pre-training, the past two years have witnessed signifi...
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02/11/2021
Less is More: ClipBERT for Video-and-Language Learning via Sparse Sampling
The canonical approach to video-and-language learning (e.g., video quest...
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02/04/2021
Unifying Vision-and-Language Tasks via Text Generation
Existing methods for vision-and-language learning typically require desi...
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01/27/2021
Low-Power Audio Keyword Spotting using Tsetlin Machines
The emergence of Artificial Intelligence (AI) driven Keyword Spotting (K...
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10/15/2020
What is More Likely to Happen Next? Video-and-Language Future Event Prediction
Given a video with aligned dialogue, people can often infer what is more...
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07/04/2020
A Novel Multi-Step Finite-State Automaton for Arbitrarily Deterministic Tsetlin Machine Learning
Due to the high energy consumption and scalability challenges of deep le...
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05/11/2020
MART: Memory-Augmented Recurrent Transformer for Coherent Video Paragraph Captioning
Generating multi-sentence descriptions for videos is one of the most cha...
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01/24/2020
TVR: A Large-Scale Dataset for Video-Subtitle Moment Retrieval
We introduce a new multimodal retrieval task - TV show Retrieval (TVR), ...
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04/25/2019
TVQA+: Spatio-Temporal Grounding for Video Question Answering
We present the task of Spatio-Temporal Video Question Answering, which r...
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09/05/2018
TVQA: Localized, Compositional Video Question Answering
Recent years have witnessed an increasing interest in image-based questi...
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07/19/2018
Selective Zero-Shot Classification with Augmented Attributes
In this paper, we introduce a selective zero-shot classification problem...
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11/14/2017