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08/11/2023
BOLAA: Benchmarking and Orchestrating LLM-augmented Autonomous Agents
The massive successes of large language models (LLMs) encourage the emer...
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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...
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07/18/2023
REX: Rapid Exploration and eXploitation for AI Agents
In this paper, we propose an enhanced approach for Rapid Exploration and...
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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...
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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 ...
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06/05/2023
R-Mixup: Riemannian Mixup for Biological Networks
Biological networks are commonly used in biomedical and healthcare domai...
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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...
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03/29/2023
Mask-free OVIS: Open-Vocabulary Instance Segmentation without Manual Mask Annotations
Existing instance segmentation models learn task-specific information us...
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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...
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03/16/2023
HIVE: Harnessing Human Feedback for Instructional Visual Editing
Incorporating human feedback has been shown to be crucial to align text ...
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03/09/2023
Deformer: Dynamic Fusion Transformer for Robust Hand Pose Estimation
Accurately estimating 3D hand pose is crucial for understanding how huma...
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01/10/2023
Neighborhood-Regularized Self-Training for Learning with Few Labels
Training deep neural networks (DNNs) with limited supervision has been a...
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01/06/2023
Model-Agnostic Hierarchical Attention for 3D Object Detection
Transformers as versatile network architectures have recently seen great...
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12/06/2022
Tackling Data Heterogeneity in Federated Learning with Class Prototypes
Data heterogeneity across clients in federated learning (FL) settings is...
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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...
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04/27/2022
Use All The Labels: A Hierarchical Multi-Label Contrastive Learning Framework
Current contrastive learning frameworks focus on leveraging a single sup...
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12/24/2021
Virtuoso: Video-based Intelligence for real-time tuning on SOCs
Efficient and adaptive computer vision systems have been proposed to mak...
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12/15/2021
Value Retrieval with Arbitrary Queries for Form-like Documents
We propose value retrieval with arbitrary queries for form-like document...
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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...
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11/18/2021
Towards Open Vocabulary Object Detection without Human-provided Bounding Boxes
Despite great progress in object detection, most existing methods are li...
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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...
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10/08/2021
Field Extraction from Forms with Unlabeled Data
We propose a novel framework to conduct field extraction from forms with...
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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...
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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...
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10/21/2020
ApproxDet: Content and Contention-Aware Approximate Object Detection for Mobiles
Advanced video analytic systems, including scene classification and obje...
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06/05/2020
WOAD: Weakly Supervised Online Action Detection in Untrimmed Videos
Online action detection in untrimmed videos aims to identify an action a...
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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...
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01/15/2020
Proposal Learning for Semi-Supervised Object Detection
In this paper, we focus on semi-supervised object detection to boost acc...
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11/11/2019
Context-aware Active Multi-Step Reinforcement Learning
Reinforcement learning has attracted great attention recently, especiall...
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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...
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06/18/2019
TempoCave: Visualizing Dynamic Connectome Datasets to Support Cognitive Behavioral Therapy
We introduce TempoCave, a novel visualization application for analyzing ...
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10/21/2014
Compositional Structure Learning for Action Understanding
The focus of the action understanding literature has predominately been ...
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01/03/2012