← Authors

Aude Oliva

33 papers · 2011–2024 · 8 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (8) πŸƒ Academic Marathon (13) πŸ—ΊοΈ Taxonomy Completionist (60) 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (14) 🌟 Keyword Trendsetter Combo (4) 🀝 Dynamic Duo (16) πŸ‘₯ Mega-Team (85) 🧬 Topic Evolution πŸ† Keyword Champion (4) πŸš€ Conference Pioneer πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (130) ⚑ Prolific Year (7) πŸ”₯ Unstoppable (14) ❓ The Questioner (2) πŸ’Ž Century Club (33)

Conferences

NIPS (9) CVPR (7) ICCV (7) ECCV (5) ICLR (2) ACL (1) NAACL (1) WACV (1)

Top co-authors

Rogerio Feris (16) Rameswar Panda (12) Antonio Torralba (10) Leonid Karlinsky (7) Kate Saenko (7) SouYoung Jin (6) Aditya Khosla (5) Bowen Pan (5) Bolei Zhou (5) Alex Andonian (4)

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