SwiftFormer: Efficient Additive Attention for Transformer-based Real-time Mobile Vision Applications
Paper
•
2303.15446
•
Published
•
1
Hanoona Rasheed
Hanoona
AI & ML interests
I’m currently working on Multi-Modal Transformers in Computer Vision Applications.
Recent Activity
authored
a paper
17 days ago
SwiftFormer: Efficient Additive Attention for Transformer-based
Real-time Mobile Vision Applications
authored
a paper
17 days ago
MaPLe: Multi-modal Prompt Learning
authored
a paper
17 days ago
VideoGPT+: Integrating Image and Video Encoders for Enhanced Video
Understanding
Organizations
authored
9
papers
17 days ago
MaPLe: Multi-modal Prompt Learning
Paper
•
2210.03117
•
Published
VideoGPT+: Integrating Image and Video Encoders for Enhanced Video Understanding
Paper
•
2406.09418
•
Published
•
1
Fine-tuned CLIP Models are Efficient Video Learners
Paper
•
2212.03640
•
Published
•
1
Perception Encoder: The best visual embeddings are not at the output of the network
Paper
•
2504.13181
•
Published
•
34
PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding
Paper
•
2504.13180
•
Published
•
19
VideoMathQA: Benchmarking Mathematical Reasoning via Multimodal Understanding in Videos
Paper
•
2506.05349
•
Published
•
24
A Culturally-diverse Multilingual Multimodal Video Benchmark & Model
Paper
•
2506.07032
•
Published
Video-CoM: Interactive Video Reasoning via Chain of Manipulations
Paper
•
2511.23477
•
Published
•
2
upvoted
a
paper
17 days ago
updated
3
datasets
about 1 month ago