Aude Oliva
33 papers · 2011–2024 · 8 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (8) 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🏃 Academic Marathon (13)
🧭
Keyword Pioneer
🐣
Hot Topic Early Bird
🐝
Cross-Pollinator
(14)
🌟
Keyword Trendsetter Combo
(4)
🤝
Dynamic Duo
(16)
👥
Mega-Team
(85)
🧬
Topic Evolution
🏆
Keyword Champion
(4)
🚀
Conference Pioneer
📈
Trend Setter
🗃️
Keyword Collector
(130)
⚡
Prolific Year
(7)
🔥
Unstoppable
(14)
❓
The Questioner
(2)
💎
Century Club
(33)
Conferences
NIPS (9)
CVPR (7)
ICCV (7)
ECCV (5)
ICLR (2)
ACL (1)
NAACL (1)
WACV (1)
Top co-authors
Keywords
transfer learning
(7)
convolutional neural network
(5)
action recognition
(4)
image memorability
(4)
video understanding
(4)
synthetic datum
(3)
compositional reasoning
(2)
egocentric video
(2)
knowledge distillation
(2)
memorability prediction
(2)
language model
(2)
multimodal learning
(2)
video recognition
(2)
deep feature
(2)
model compression
(2)
self-supervised learning
(2)
multi-modal learning
(2)
visual saliency
(1)
cognitive modeling
(1)
vision transformer
(1)
Papers
ConMe: Rethinking Evaluation of Compositional Reasoning for Modern VLMs
NIPS 2024
Improved Techniques for Quantizing Deep Networks With Adaptive Bit-Widths
WACV 2024
LangNav: Language as a Perceptual Representation for Navigation
NAACL 2024
Brain Netflix: Scaling Data to Reconstruct Videos from Brain Signals
ECCV 2024
$\textit{Trans-LoRA}$: towards data-free Transferable Parameter Efficient Finetuning
NIPS 2024
Leveraging Temporal Context in Low Representational Power Regimes
CVPR 2023
Learning Human Action Recognition Representations Without Real Humans
NIPS 2023
Going Beyond Nouns With Vision & Language Models Using Synthetic Data
ICCV 2023
Ego4D: Around the World in 3,000 Hours of Egocentric Video
CVPR 2022
Cross-Modal Discrete Representation Learning
ACL 2022
How Transferable are Video Representations Based on Synthetic Data?
NIPS 2022
IA-RED$^2$: Interpretability-Aware Redundancy Reduction for Vision Transformers
NIPS 2021
Deep Analysis of CNN-Based Spatio-Temporal Representations for Action Recognition
CVPR 2021
Spoken Moments: Learning Joint Audio-Visual Representations From Video Descriptions
CVPR 2021
AdaMML: Adaptive Multi-Modal Learning for Efficient Video Recognition
ICCV 2021
Dynamic Network Quantization for Efficient Video Inference
ICCV 2021
VA-RED$^2$: Video Adaptive Redundancy Reduction
ICLR 2021
AdaFuse: Adaptive Temporal Fusion Network for Efficient Action Recognition
ICLR 2021
AR-Net: Adaptive Frame Resolution for Efficient Action Recognition
ECCV 2020
Multimodal Memorability: Modeling Effects of Semantics and Decay on Video Memorability
ECCV 2020
We Have So Much In Common: Modeling Semantic Relational Set Abstractions in Videos
ECCV 2020
How Much Time Do You Have? Modeling Multi-Duration Saliency
CVPR 2020
GANalyze: Toward Visual Definitions of Cognitive Image Properties
ICCV 2019
Reasoning About Human-Object Interactions Through Dual Attention Networks
ICCV 2019
Temporal Relational Reasoning in Videos
ECCV 2018
Network Dissection: Quantifying Interpretability of Deep Visual Representations
CVPR 2017
Learning Deep Features for Discriminative Localization
CVPR 2016
Learning visual biases from human imagination
NIPS 2015
Understanding and Predicting Image Memorability at a Large Scale
ICCV 2015
Learning Deep Features for Scene Recognition using Places Database
NIPS 2014
Modifying the Memorability of Face Photographs
ICCV 2013
Memorability of Image Regions
NIPS 2012
Understanding the Intrinsic Memorability of Images
NIPS 2011