b'Ran Xu'

research

∙ 08/11/2023

BOLAA: Benchmarking and Orchestrating LLM-augmented Autonomous Agents

The massive successes of large language models (LLMs) encourage the emer...

0 Zhiwei Liu, et al. ∙

research

∙ 08/04/2023

Retroformer: Retrospective Large Language Agents with Policy Gradient Optimization

Recent months have seen the emergence of a powerful new trend in which l...

0 Weiran Yao, et al. ∙

research

∙ 07/18/2023

REX: Rapid Exploration and eXploitation for AI Agents

In this paper, we propose an enhanced approach for Rapid Exploration and...

0 Rithesh Murthy, et al. ∙

research

∙ 06/12/2023

Weakly-Supervised Scientific Document Classification via Retrieval-Augmented Multi-Stage Training

Scientific document classification is a critical task for a wide range o...

0 Ran Xu, et al. ∙

research

∙ 06/07/2023

A Survey on Knowledge Graphs for Healthcare: Resources, Applications, and Promises

Healthcare knowledge graphs (HKGs) have emerged as a promising tool for ...

9 Hejie Cui, et al. ∙

research

∙ 06/05/2023

R-Mixup: Riemannian Mixup for Biological Networks

Biological networks are commonly used in biomedical and healthcare domai...

6 Xuan Kan, et al. ∙

research

∙ 05/18/2023

UniControl: A Unified Diffusion Model for Controllable Visual Generation In the Wild

Achieving machine autonomy and human control often represent divergent o...

0 Can Qin, et al. ∙

research

∙ 03/29/2023

Mask-free OVIS: Open-Vocabulary Instance Segmentation without Manual Mask Annotations

Existing instance segmentation models learn task-specific information us...

0 Vibashan VS, et al. ∙

research

∙ 03/17/2023

GlueGen: Plug and Play Multi-modal Encoders for X-to-image Generation

Text-to-image (T2I) models based on diffusion processes have achieved re...

0 Can Qin, et al. ∙

research

∙ 03/16/2023

HIVE: Harnessing Human Feedback for Instructional Visual Editing

Incorporating human feedback has been shown to be crucial to align text ...

1 Shu Zhang, et al. ∙

research

∙ 03/09/2023

Deformer: Dynamic Fusion Transformer for Robust Hand Pose Estimation

Accurately estimating 3D hand pose is crucial for understanding how huma...

0 Qichen Fu, et al. ∙

research

∙ 01/10/2023

Neighborhood-Regularized Self-Training for Learning with Few Labels

Training deep neural networks (DNNs) with limited supervision has been a...

12 Ran Xu, et al. ∙

research

∙ 01/06/2023

Model-Agnostic Hierarchical Attention for 3D Object Detection

Transformers as versatile network architectures have recently seen great...

0 Manli Shu, et al. ∙

research

∙ 12/06/2022

Tackling Data Heterogeneity in Federated Learning with Class Prototypes

Data heterogeneity across clients in federated learning (FL) settings is...

0 Yutong Dai, et al. ∙

research

∙ 08/03/2022

TAG: Boosting Text-VQA via Text-aware Visual Question-answer Generation

Text-VQA aims at answering questions that require understanding the text...

5 Jun Wang, et al. ∙

research

∙ 04/27/2022

Use All The Labels: A Hierarchical Multi-Label Contrastive Learning Framework

Current contrastive learning frameworks focus on leveraging a single sup...

0 Shu Zhang, et al. ∙

research

∙ 12/24/2021

Virtuoso: Video-based Intelligence for real-time tuning on SOCs

Efficient and adaptive computer vision systems have been proposed to mak...

7 Jayoung Lee, et al. ∙

research

∙ 12/15/2021

Value Retrieval with Arbitrary Queries for Form-like Documents

We propose value retrieval with arbitrary queries for form-like document...

5 Mingfei Gao, et al. ∙

research

∙ 12/08/2021

Burn After Reading: Online Adaptation for Cross-domain Streaming Data

In the context of online privacy, many methods propose complex privacy a...

0 Luyu Yang, et al. ∙

research

∙ 11/18/2021

Towards Open Vocabulary Object Detection without Human-provided Bounding Boxes

Despite great progress in object detection, most existing methods are li...

7 Mingfei Gao, et al. ∙

research

∙ 10/08/2021

Robustness Evaluation of Transformer-based Form Field Extractors via Form Attacks

We propose a novel framework to evaluate the robustness of transformer-b...

0 Le Xue, et al. ∙

research

∙ 10/08/2021

Field Extraction from Forms with Unlabeled Data

We propose a novel framework to conduct field extraction from forms with...

6 Mingfei Gao, et al. ∙

research

∙ 09/29/2021

MetaHistoSeg: A Python Framework for Meta Learning in Histopathology Image Segmentation

Few-shot learning is a standard practice in most deep learning based his...

0 Zheng Yuan, et al. ∙

research

∙ 12/09/2020

JANUS: Benchmarking Commercial and Open-Source Cloud and Edge Platforms for Object and Anomaly Detection Workloads

With diverse IoT workloads, placing compute and analytics close to where...

7 Karthick Shankar, et al. ∙

research

∙ 10/21/2020

ApproxDet: Content and Contention-Aware Approximate Object Detection for Mobiles

Advanced video analytic systems, including scene classification and obje...

6 Ran Xu, et al. ∙

research

∙ 06/05/2020

WOAD: Weakly Supervised Online Action Detection in Untrimmed Videos

Online action detection in untrimmed videos aims to identify an action a...

0 Mingfei Gao, et al. ∙

research

∙ 05/15/2020

New Frontiers in IoT: Networking, Systems, Reliability, and Security Challenges

The field of IoT has blossomed and is positively influencing many applic...

0 Saurabh Bagchi, et al. ∙

research

∙ 01/15/2020

Proposal Learning for Semi-Supervised Object Detection

In this paper, we focus on semi-supervised object detection to boost acc...

11 Peng Tang, et al. ∙

research

∙ 11/11/2019

Context-aware Active Multi-Step Reinforcement Learning

Reinforcement learning has attracted great attention recently, especiall...

0 Gang Chen, et al. ∙

research

∙ 08/28/2019

ApproxNet: Content and Contention Aware Video Analytics System for the Edge

Videos take lot of time to transport over the network, hence running ana...

0 Ran Xu, et al. ∙

research

∙ 06/18/2019

TempoCave: Visualizing Dynamic Connectome Datasets to Support Cognitive Behavioral Therapy

We introduce TempoCave, a novel visualization application for analyzing ...

0 Ran Xu, et al. ∙

research

∙ 10/21/2014

Compositional Structure Learning for Action Understanding

The focus of the action understanding literature has predominately been ...

0 Ran Xu, et al. ∙

research

∙ 01/03/2012

Random Forests for Metric Learning with Implicit Pairwise Position Dependence

Metric learning makes it plausible to learn distances for complex distri...

0 Caiming Xiong, et al. ∙

Ran Xu

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