Hila Chefer - Transformer Explainability

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All Things ViTs || CVPR 2023 Tutorial || Hila Chefer and Sayak Paul

(2:31)

Optimizing Relevance Maps of Vision Transformers Improves Robustness

(4:58)

NLP IL - Vision-Language Club #3 Hila Chefer - Lumiere

(55:56)

Computer Vision Meetup: Leveraging Attention for Improved Accuracy and Robustness

(49:19)

Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers

(11:26)

TargetCLIP: Image-based CLIP-Guided Essence Transfer [ECCV'22]

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Activeloop's Deep Lake and The Hidden Language of Diffusion Models | Multimodal Weekly 13

(1:1:13)

Intro to Transformers and Transformer Explainability

(1:10:13)

Attention-Based Semantic Guidance for Text-to-image Diffusion Models

(41:19)

Attention in Deep Learning -- Intro and Motivation

(40:21)

Text-to-Video Synthesis with Lumiere | Multimodal Weekly 36

(1:1:20)

Lumiere A Space-Time Diffusion Model for Video Generation

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