b'Boyang Li'

research

∙ 08/01/2023

Reinforcement Learning-based Non-Autoregressive Solver for Traveling Salesman Problems

The Traveling Salesman Problem (TSP) is a well-known problem in combinat...

0 Yubin Xiao, et al. ∙

research

∙ 07/30/2023

Proof-of-Federated-Learning-Subchain: Free Partner Selection Subchain Based on Federated Learning

The continuous thriving of the Blockchain society motivates research in ...

0 Boyang Li, et al. ∙

research

∙ 06/15/2023

Training Multimedia Event Extraction With Generated Images and Captions

Contemporary news reporting increasingly features multimedia content, mo...

0 Zilin Du, et al. ∙

research

∙ 05/23/2023

Learning Remote Sensing Object Detection with Single Point Supervision

Pointly Supervised Object Detection (PSOD) has attracted considerable in...

0 Shitian He, et al. ∙

research

∙ 05/11/2023

InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning

General-purpose language models that can solve various language-domain t...

0 Wenliang Dai, et al. ∙

research

∙ 04/20/2023

Movie Box Office Prediction With Self-Supervised and Visually Grounded Pretraining

Investments in movie production are associated with a high level of risk...

0 Qin Chao, et al. ∙

research

∙ 04/10/2023

Monte Carlo Linear Clustering with Single-Point Supervision is Enough for Infrared Small Target Detection

Single-frame infrared small target (SIRST) detection aims at separating ...

0 Boyang Li, et al. ∙

research

∙ 12/21/2022

From Images to Textual Prompts: Zero-shot VQA with Frozen Large Language Models

Large language models (LLMs) have demonstrated excellent zero-shot gener...

1 Jiaxian Guo, et al. ∙

research

∙ 12/20/2022

Is GPT-3 a Good Data Annotator?

GPT-3 (Generative Pre-trained Transformer 3) is a large-scale autoregres...

34 Bosheng Ding, et al. ∙

research

∙ 11/23/2022

Evaluating and Mitigating Static Bias of Action Representations in the Background and the Foreground

Deep neural networks for video action recognition easily learn to utiliz...

0 Haoxin Li, et al. ∙

research

∙ 10/20/2022

A Survey of Computer Vision Technologies In Urban and Controlled-environment Agriculture

In the evolution of agriculture to its next stage, Agriculture 5.0, arti...

0 Jiayun Luo, et al. ∙

research

∙ 10/17/2022

Plug-and-Play VQA: Zero-shot VQA by Conjoining Large Pretrained Models with Zero Training

Visual question answering (VQA) is a hallmark of vision and language rea...

0 Anthony Meng Huat Tiong, et al. ∙

research

∙ 10/06/2022

Improving the Sample Efficiency of Prompt Tuning with Domain Adaptation

Prompt tuning, or the conditioning of a frozen pretrained language model...

0 Xu Guo, et al. ∙

research

∙ 09/28/2022

MTU-Net: Multi-level TransUNet for Space-based Infrared Tiny Ship Detection

Space-based infrared tiny ship detection aims at separating tiny ships f...

15 Tianhao Wu, et al. ∙

research

∙ 06/29/2022

Minimalist and High-performance Conversational Recommendation with Uncertainty Estimation for User Preference

Conversational recommendation system (CRS) is emerging as a user-friendl...

0 Yinan Zhang, et al. ∙

research

∙ 06/01/2022

Efficient Self-supervised Vision Pretraining with Local Masked Reconstruction

Self-supervised learning for computer vision has achieved tremendous pro...

0 Jun Chen, et al. ∙

research

∙ 03/11/2022

Synopses of Movie Narratives: a Video-Language Dataset for Story Understanding

Despite recent advances of AI, story understanding remains an open and u...

0 Yidan Sun, et al. ∙

research

∙ 10/19/2021

Improving Tail-Class Representation with Centroid Contrastive Learning

In vision domain, large-scale natural datasets typically exhibit long-ta...

0 Anthony Meng Huat Tiong, et al. ∙

research

∙ 08/03/2021

Noise-Resistant Deep Metric Learning with Probabilistic Instance Filtering

Noisy labels are commonly found in real-world data, which cause performa...

0 Chang Liu, et al. ∙

research

∙ 06/09/2021

Initialization Matters: Regularizing Manifold-informed Initialization for Neural Recommendation Systems

Proper initialization is crucial to the optimization and the generalizat...

1 Yinan Zhang, et al. ∙

research

∙ 06/01/2021

Dense Nested Attention Network for Infrared Small Target Detection

Single-frame infrared small target (SIRST) detection aims at separating ...

9 Boyang Li, et al. ∙

research

∙ 05/31/2021

Non-Convex Tensor Low-Rank Approximation for Infrared Small Target Detection

Infrared small target detection plays an important role in many infrared...

9 Ting Liu, et al. ∙

research

∙ 04/19/2021

Latent-Optimized Adversarial Neural Transfer for Sarcasm Detection

The existence of multiple datasets for sarcasm detection prompts us to a...

0 Xu Guo, et al. ∙

research

∙ 03/30/2021

Noise-resistant Deep Metric Learning with Ranking-based Instance Selection

The existence of noisy labels in real-world data negatively impacts the ...

0 Chang Liu, et al. ∙

research

∙ 02/04/2021

HYDRA: Hypergradient Data Relevance Analysis for Interpreting Deep Neural Networks

The behaviors of deep neural networks (DNNs) are notoriously resistant t...

0 Yuanyuan Chen, et al. ∙

research

∙ 12/03/2020

Federated Learning with Diversified Preference for Humor Recognition

Understanding humor is critical to creative language modeling with many ...

0 Xu Guo, et al. ∙

research

∙ 11/15/2020

Data-efficient Alignment of Multimodal Sequences by Aligning Gradient Updates and Internal Feature Distributions

The task of video and text sequence alignment is a prerequisite step tow...

0 Jianan Wang, et al. ∙

research

∙ 07/29/2020

Proof of Learning (PoLe): Empowering Machine Learning with Consensus Building on Blockchains

The progress of deep learning (DL), especially the recent development of...

0 Yixiao Lan, et al. ∙

research

∙ 03/25/2020

Long-tail Visual Relationship Recognition with a Visiolinguistic Hubless Loss

Scaling up the vocabulary and complexity of current visual understanding...

0 Sherif Abdelkarim, et al. ∙

research

∙ 12/30/2019

Searching for Stage-wise Neural Graphs In the Limit

Search space is a key consideration for neural architecture search. Rece...

0 Xin Zhou, et al. ∙

research

∙ 12/07/2019

Does Interpretability of Neural Networks Imply Adversarial Robustness?

The success of deep neural networks is clouded by two issues that largel...

0 Adam Noack, et al. ∙

research

∙ 09/11/2019

Privacy-Aware Cost-Effective Scheduling Considering Non-Schedulable Appliances in Smart Home

A Smart Home provides integrating and electronic information services to...

0 Boyang Li, et al. ∙

research

∙ 09/10/2019

NormLime: A New Feature Importance Metric for Explaining Deep Neural Networks

The problem of explaining deep learning models, and model predictions ge...

0 Isaac Ahern, et al. ∙

research

∙ 05/31/2019

Real-Time Adversarial Attacks

In recent years, many efforts have demonstrated that modern machine lear...

0 Yuan Gong, et al. ∙

research

∙ 04/15/2019

Exploiting Computation Power of Blockchain for Biomedical Image Segmentation

Biomedical image segmentation based on Deep neuralnetwork (DNN) is a pro...

0 Boyang Li, et al. ∙

research

∙ 02/11/2019

Energy-recycling Blockchain with Proof-of-Deep-Learning

An enormous amount of energy is wasted in Proofof-Work (PoW) mechanisms ...

0 Changhao Chenli, et al. ∙

research

∙ 12/21/2018

A Multi-task Neural Approach for Emotion Attribution, Classification and Summarization

Emotional content is a crucial ingredient in user-generated videos. Howe...

24 Guoyun Tu, et al. ∙

research

∙ 04/06/2018

Understanding Actors and Evaluating Personae with Gaussian Embeddings

Understanding narrative content has become an increasingly popular topic...

0 Hannah Kim, et al. ∙

research

∙ 04/06/2018

Learning Joint Gaussian Representations for Movies, Actors, and Literary Characters

Understanding of narrative content has become an increasingly popular to...

0 Hannah Kim, et al. ∙

research

∙ 02/28/2018

Joint Event Detection and Description in Continuous Video Streams

As a fine-grained video understanding task, dense video captioning invol...

0 Huijuan Xu, et al. ∙

research

∙ 02/19/2018

LSTM stack-based Neural Multi-sequence Alignment TeCHnique (NeuMATCH)

The alignment of heterogeneous sequential data (video to text) is an imp...

0 Pelin Dogan, et al. ∙

research

∙ 02/13/2018

Automated Reporting of GUI Design Violations for Mobile Apps

The inception of a mobile app often takes form of a mock-up of the Graph...

0 Kevin Moran, et al. ∙

research

∙ 10/08/2017

Annotating High-Level Structures of Short Stories and Personal Anecdotes

Stories are a vital form of communication in human culture; they are emp...

0 Boyang Li, et al. ∙

research

∙ 07/20/2017

Predicting Personality from Book Preferences with User-Generated Content Labels

Psychological studies have shown that personality traits are associated ...

0 Ng Annalyn, et al. ∙

research

∙ 07/08/2017

Predicting the Quality of Short Narratives from Social Media

An important and difficult challenge in building computational models fo...

0 Tong Wang, et al. ∙

research

∙ 11/16/2015

Heterogeneous Knowledge Transfer in Video Emotion Recognition, Attribution and Summarization

Emotional content is a key element in user-generated videos. However, it...

0 Baohan Xu, et al. ∙

Boyang Li

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