Media Summary: International Conference on Computer Vision (ICCV) 2021 Authors: Zhi Chen, Yadan Luo, Ruihong Qiu, Sen Wang, Zi Huang, ... Want to play with the technology yourself? Explore our interactive demo → Authors: Ziqian Lu, Yunlong Yu, Zhe-Ming Lu, Feng-Li Shen, Zhongfei Zhang Description: While promising progress has been ...

412 Two Level Adversarial Visual Semantic Coupling For Generalized Zero Shot Learning - Detailed Analysis & Overview

International Conference on Computer Vision (ICCV) 2021 Authors: Zhi Chen, Yadan Luo, Ruihong Qiu, Sen Wang, Zi Huang, ... Want to play with the technology yourself? Explore our interactive demo → Authors: Ziqian Lu, Yunlong Yu, Zhe-Ming Lu, Feng-Li Shen, Zhongfei Zhang Description: While promising progress has been ... ICCV17 851 Spatial-Aware Object Embeddings for Authors: Rohit Keshari, Richa Singh, Mayank Vatsa Description: A well trained and Authors: Dat Huynh, Ehsan Elhamifar Description: We address the problem of fine-grained

Atzmon & Chechik, CVPR 2019 Project page: arXiv: ICLR 2026 Zero-Shot Adaptation of Behavioral Foundation Models to Unseen Dynamics [CVPR 2026] AGFT: Alignment-Guided Fine-Tuning for This paper focuses on source tracing, which is the process of attributing a spoofed audio clip to the specific AI system that ... Words are great, but if we want to use them as input to a neural network, we have to convert them to numbers. One of the most ... For more information about Stanford's Artificial Intelligence professional and graduate programs, visit: October ...

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412 - Two-Level Adversarial Visual-Semantic Coupling for Generalized Zero-shot Learning
ICCV 2021 - Semantics Disentangling for Generalized Zero-Shot Learning
What is Zero-Shot Learning?
Attentive Semantic Preservation Network for Zero-Shot Learning
Spatial-Aware Object Embeddings for Zero-Shot  Localization and Classification of Actions
Generalized Zero-Shot Learning via Over-Complete Distribution
Fine-Grained Generalized Zero-Shot Learning via Dense Attribute-Based Attention
Exploiting a Joint Embedding Space for Generalized Zero-Shot Semantic Segmentation (ICCV 2021)
Adaptive Confidence Smoothing for Generalized Zero-Shot Learning.
[BMVC Oral 2022] Resolving Semantic Confusions for Improved Zero-Shot Detection
Learning Unsupervised Semantic Embeddings for Zero-Shot Image Classification (Yongqin Xian)
Learning Unseen Emotions via Semantically-Conditioned Zero-Shot Perception with Adversarial AEs
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412 - Two-Level Adversarial Visual-Semantic Coupling for Generalized Zero-shot Learning

412 - Two-Level Adversarial Visual-Semantic Coupling for Generalized Zero-shot Learning

... wacv 2021 accepted paper or the uh

ICCV 2021 - Semantics Disentangling for Generalized Zero-Shot Learning

ICCV 2021 - Semantics Disentangling for Generalized Zero-Shot Learning

International Conference on Computer Vision (ICCV) 2021 Authors: Zhi Chen, Yadan Luo, Ruihong Qiu, Sen Wang, Zi Huang, ...

What is Zero-Shot Learning?

What is Zero-Shot Learning?

Want to play with the technology yourself? Explore our interactive demo → https://ibm.biz/BdKkPk

Attentive Semantic Preservation Network for Zero-Shot Learning

Attentive Semantic Preservation Network for Zero-Shot Learning

Authors: Ziqian Lu, Yunlong Yu, Zhe-Ming Lu, Feng-Li Shen, Zhongfei Zhang Description: While promising progress has been ...

Spatial-Aware Object Embeddings for Zero-Shot  Localization and Classification of Actions

Spatial-Aware Object Embeddings for Zero-Shot Localization and Classification of Actions

ICCV17 | 851 | Spatial-Aware Object Embeddings for

Generalized Zero-Shot Learning via Over-Complete Distribution

Generalized Zero-Shot Learning via Over-Complete Distribution

Authors: Rohit Keshari, Richa Singh, Mayank Vatsa Description: A well trained and

Fine-Grained Generalized Zero-Shot Learning via Dense Attribute-Based Attention

Fine-Grained Generalized Zero-Shot Learning via Dense Attribute-Based Attention

Authors: Dat Huynh, Ehsan Elhamifar Description: We address the problem of fine-grained

Exploiting a Joint Embedding Space for Generalized Zero-Shot Semantic Segmentation (ICCV 2021)

Exploiting a Joint Embedding Space for Generalized Zero-Shot Semantic Segmentation (ICCV 2021)

"Exploiting a Joint Embedding Space for

Adaptive Confidence Smoothing for Generalized Zero-Shot Learning.

Adaptive Confidence Smoothing for Generalized Zero-Shot Learning.

Atzmon & Chechik, CVPR 2019 Project page: https://chechiklab.biu.ac.il/~yuvval/COSMO arXiv: https://arxiv.org/abs/1812.09903.

[BMVC Oral 2022] Resolving Semantic Confusions for Improved Zero-Shot Detection

[BMVC Oral 2022] Resolving Semantic Confusions for Improved Zero-Shot Detection

Resolving

Learning Unsupervised Semantic Embeddings for Zero-Shot Image Classification (Yongqin Xian)

Learning Unsupervised Semantic Embeddings for Zero-Shot Image Classification (Yongqin Xian)

ECCV 2022 CVinW Workshop Invited Talk:

Learning Unseen Emotions via Semantically-Conditioned Zero-Shot Perception with Adversarial AEs

Learning Unseen Emotions via Semantically-Conditioned Zero-Shot Perception with Adversarial AEs

We present a novel

ICLR 2026 | Zero-Shot Adaptation of Behavioral Foundation Models to Unseen Dynamics

ICLR 2026 | Zero-Shot Adaptation of Behavioral Foundation Models to Unseen Dynamics

ICLR 2026 | Zero-Shot Adaptation of Behavioral Foundation Models to Unseen Dynamics

AGFT: Alignment-Guided Fine-Tuning for Zero-Shot Adversarial Robustness of Vision-Language Models

AGFT: Alignment-Guided Fine-Tuning for Zero-Shot Adversarial Robustness of Vision-Language Models

[CVPR 2026] AGFT: Alignment-Guided Fine-Tuning for

Source Tracing Using Few-shot and Zero-shot Learning with STOPA dataset

Source Tracing Using Few-shot and Zero-shot Learning with STOPA dataset

This paper focuses on source tracing, which is the process of attributing a spoofed audio clip to the specific AI system that ...

ICLR14: M Norouzi: Zero-Shot Learning by Convex Combination...

ICLR14: M Norouzi: Zero-Shot Learning by Convex Combination...

ICLR 2014 Talk: "

CIS 5700 Zero-Shot Learning via Simultaneous Generating and Learning

CIS 5700 Zero-Shot Learning via Simultaneous Generating and Learning

Paper review presentation.

Word Embedding and Word2Vec, Clearly Explained!!!

Word Embedding and Word2Vec, Clearly Explained!!!

Words are great, but if we want to use them as input to a neural network, we have to convert them to numbers. One of the most ...

Stanford CS230 | Autumn 2025 | Lecture 4: Adversarial Robustness and Generative Models

Stanford CS230 | Autumn 2025 | Lecture 4: Adversarial Robustness and Generative Models

For more information about Stanford's Artificial Intelligence professional and graduate programs, visit: https://stanford.io/ai October ...