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09/20/2023
CoT-BERT: Enhancing Unsupervised Sentence Representation through Chain-of-Thought
Unsupervised sentence representation learning aims to transform input se...
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09/08/2023
Mobile V-MoEs: Scaling Down Vision Transformers via Sparse Mixture-of-Experts
Sparse Mixture-of-Experts models (MoEs) have recently gained popularity ...
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07/28/2023
Investigating the Learning Behaviour of In-context Learning: A Comparison with Supervised Learning
Large language models (LLMs) have shown remarkable capacity for in-conte...
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04/06/2023
Investigating Chain-of-thought with ChatGPT for Stance Detection on Social Media
Stance detection predicts attitudes towards targets in texts and has gai...
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03/06/2023
Large Language Models as Zero-Shot Human Models for Human-Robot Interaction
Human models play a crucial role in human-robot interaction (HRI), enabl...
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02/02/2023
Geometric Deep Learning for Autonomous Driving: Unlocking the Power of Graph Neural Networks With CommonRoad-Geometric
Heterogeneous graphs offer powerful data representations for traffic, gi...
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01/19/2023
Multimodal Video Adapter for Parameter Efficient Video Text Retrieval
State-of-the-art video-text retrieval (VTR) methods usually fully fine-t...
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01/16/2023
A separation logic for sequences in pointer programs and its decidability
Separation logic and its variants can describe various properties on poi...
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12/30/2022
How would Stance Detection Techniques Evolve after the Launch of ChatGPT?
Stance detection refers to the task of extracting the standpoint (Favor,...
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11/15/2022
Context-Matched Collage Generation for Underwater Invertebrate Detection
The quality and size of training sets often limit the performance of man...
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11/10/2022
Safety-Constrained Policy Transfer with Successor Features
In this work, we focus on the problem of safe policy transfer in reinfor...
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06/16/2022
Censer: Curriculum Semi-supervised Learning for Speech Recognition Based on Self-supervised Pre-training
Recent studies have shown that the benefits provided by self-supervised ...
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06/01/2022
Context-Driven Detection of Invertebrate Species in Deep-Sea Video
Each year, underwater remotely operated vehicles (ROVs) collect thousand...
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05/11/2022
CSI-based Indoor Localization via Attention-Augmented Residual Convolutional Neural Network
Deep learning has been widely adopted for channel state information (CSI...
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03/10/2022
Deep Learning-Based Perceptual Stimulus Encoder for Bionic Vision
Retinal implants have the potential to treat incurable blindness, yet th...
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12/20/2021
StyleSwin: Transformer-based GAN for High-resolution Image Generation
Despite the tantalizing success in a broad of vision tasks, transformers...
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12/14/2021
Margin Calibration for Long-Tailed Visual Recognition
The long-tailed class distribution in visual recognition tasks poses gre...
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12/14/2021
Co-training Transformer with Videos and Images Improves Action Recognition
In learning action recognition, models are typically pre-trained on obje...
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10/15/2021
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling
The recently proposed FixMatch achieved state-of-the-art results on most...
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09/29/2021
Visually Grounded Concept Composition
We investigate ways to compose complex concepts in texts from primitive ...
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09/25/2021
Systematic Generalization on gSCAN: What is Nearly Solved and What is Next?
We analyze the grounded SCAN (gSCAN) benchmark, which was recently propo...
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06/13/2021
Enhanced Hyperspectral Image Super-Resolution via RGB Fusion and TV-TV Minimization
Hyperspectral (HS) images contain detailed spectral information that has...
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02/28/2021
CREATe: Clinical Report Extraction and Annotation Technology
Clinical case reports are written descriptions of the unique aspects of ...
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02/05/2021
Instance and Panoptic Segmentation Using Conditional Convolutions
We propose a simple yet effective framework for instance and panoptic se...
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11/18/2020
A Hierarchical Multi-Modal Encoder for Moment Localization in Video Corpus
Identifying a short segment in a long video that semantically matches a ...
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10/06/2020
Online Action Detection in Streaming Videos with Time Buffers
We formulate the problem of online temporal action detection in live str...
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10/06/2020
Learning to Represent Image and Text with Denotation Graph
Learning to fuse vision and language information and representing them i...
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03/26/2020
On the adversarial robustness of DNNs based on error correcting output codes
Adversarial examples represent a great security threat for deep learning...
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03/16/2020
Characterizing Cryptocurrency Exchange Scams
As the indispensable trading platforms of the ecosystem, hundreds of cry...
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02/06/2020
Driver Gaze Estimation in the Real World: Overcoming the Eyeglass Challenge
A driver's gaze is critical for determining the driver's attention level...
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01/13/2020
Visual Storytelling via Predicting Anchor Word Embeddings in the Stories
We propose a learning model for the task of visual storytelling. The mai...
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10/01/2019
Attacking CNN-based anti-spoofing face authentication in the physical domain
In this paper, we study the vulnerability of anti-spoofing methods based...
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09/05/2019
Effective Domain Knowledge Transfer with Soft Fine-tuning
Convolutional neural networks require numerous data for training. Consid...
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08/19/2019
Topic Augmented Generator for Abstractive Summarization
Steady progress has been made in abstractive summarization with attentio...
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04/09/2019
Reasoning about Block-based Cloud Storage Systems
Owing to the massive growth in the storage demands of big data, Cloud St...
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11/21/2018
Malicious Web Request Detection Using Character-level CNN
Web parameter injection attacks are common and powerful. In this kind of...
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10/16/2018
Cross-Modal and Hierarchical Modeling of Video and Text
Visual data and text data are composed of information at multiple granul...
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07/27/2018
Few Shot Learning with Simplex
Deep learning has made remarkable achievement in many fields. However, l...
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09/01/2016
Weakly Supervised PatchNets: Describing and Aggregating Local Patches for Scene Recognition
Traditional feature encoding scheme (e.g., Fisher vector) with local des...
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08/02/2016
CUHK & ETHZ & SIAT Submission to ActivityNet Challenge 2016
This paper presents the method that underlies our submission to the untr...
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04/26/2016
