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YOLOv7: Trainable Bag-of-Freebies Sets New State-of-the-Art for Real-Time Object Detectors
YOLOv7: Trainable Bag-of-Freebies Sets New State-of-the-Art for Real-Time Object Detectors
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Conference Proceeding 		Add to e-Shelf

YOLOv7: Trainable Bag-of-Freebies Sets New State-of-the-Art for Real-Time Object Detectors

Wang, Chien-Yao ; Bochkovskiy, Alexey ; Liao, Hong-Yuan Mark

2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023, p.7464-7475

IEEE

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2
Multi-Concept Customization of Text-to-Image Diffusion
Multi-Concept Customization of Text-to-Image Diffusion
Material Type:
Conference Proceeding 		Add to e-Shelf

Multi-Concept Customization of Text-to-Image Diffusion

Kumari, Nupur ; Zhang, Bingliang ; Zhang, Richard ; Shechtman, Eli ; Zhu, Jun-Yan

2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023, p.1931-1941

IEEE

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3
OneFormer: One Transformer to Rule Universal Image Segmentation
OneFormer: One Transformer to Rule Universal Image Segmentation
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Conference Proceeding 		Add to e-Shelf

OneFormer: One Transformer to Rule Universal Image Segmentation

Jain, Jitesh ; Li, Jiachen ; Chiu, MangTik ; Hassani, Ali ; Orlov, Nikita ; Shi, Humphrey

2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023, p.2989-2998

IEEE

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4
Towards Evaluating the Robustness of Neural Networks
Towards Evaluating the Robustness of Neural Networks
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Conference Proceeding 		Add to e-Shelf

Towards Evaluating the Robustness of Neural Networks

Carlini, Nicholas ; Wagner, David

2017 IEEE Symposium on Security and Privacy (SP), 2017, p.39-57

IEEE

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5
Frustum ConvNet: Sliding Frustums to Aggregate Local Point-Wise Features for Amodal 3D Object Detection
Frustum ConvNet: Sliding Frustums to Aggregate Local Point-Wise Features for Amodal 3D Object Detection
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Conference Proceeding 		Add to e-Shelf

Frustum ConvNet: Sliding Frustums to Aggregate Local Point-Wise Features for Amodal 3D Object Detection

Wang, Zhixin ; Jia, Kui

2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019, p.1742-1749

IEEE

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6
Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models
Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models
Material Type:
Conference Proceeding 		Add to e-Shelf

Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models

Xu, Jiarui ; Liu, Sifei ; Vahdat, Arash ; Byeon, Wonmin ; Wang, Xiaolong ; De Mello, Shalini

2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023, p.2955-2966

IEEE

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7
Membership Inference Attacks Against Machine Learning Models
Membership Inference Attacks Against Machine Learning Models
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Conference Proceeding 		Add to e-Shelf

Membership Inference Attacks Against Machine Learning Models

Shokri, Reza ; Stronati, Marco ; Congzheng Song ; Shmatikov, Vitaly

2017 IEEE Symposium on Security and Privacy (SP), 2017, p.3-18

IEEE

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8
DÏoT: A Federated Self-learning Anomaly Detection System for IoT
DÏoT: A Federated Self-learning Anomaly Detection System for IoT
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DÏoT: A Federated Self-learning Anomaly Detection System for IoT

Nguyen, Thien Duc ; Marchal, Samuel ; Miettinen, Markus ; Fereidooni, Hossein ; Asokan, N. ; Sadeghi, Ahmad-Reza

2019 IEEE 39th International Conference on Distributed Computing Systems (ICDCS), 2019, p.756-767

IEEE

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9
Images Speak in Images: A Generalist Painter for In-Context Visual Learning
Images Speak in Images: A Generalist Painter for In-Context Visual Learning
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Conference Proceeding 		Add to e-Shelf

Images Speak in Images: A Generalist Painter for In-Context Visual Learning

Wang, Xinlong ; Wang, Wen ; Cao, Yue ; Shen, Chunhua ; Huang, Tiejun

2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023, p.6830-6839

IEEE

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10
CMFL: Mitigating Communication Overhead for Federated Learning
CMFL: Mitigating Communication Overhead for Federated Learning
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Conference Proceeding 		Add to e-Shelf

CMFL: Mitigating Communication Overhead for Federated Learning

WANG, Luping ; WANG, Wei ; LI, Bo

2019 IEEE 39th International Conference on Distributed Computing Systems (ICDCS), 2019, p.954-964

IEEE

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