Fadime Sener
I am a Research Scientist at Meta Reality Labs.
Before this, I spent around seven months at the National University of Singapore (NUS) and four years at the University of Bonn as a research assistant.
I received my PhD from the University of Bonn under the supervision of Prof. Angela Yao.
Before that, I completed my Master’s degree in Computer Science at Bilkent University and my Bachelor’s degree in Computer Science at Hacettepe University.
My research focuses on computer vision and natural language processing.
During my PhD, I worked on human activity understanding in videos through vision and language using minimal supervision.
Recently, I have been working on online action recognition and leveraging multimodal large language models for video understanding
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LinkedIn
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Long-Tail Temporal Action Segmentation with Group-wise Temporal Logit Adjustment
Zhanzhong Pang,
Fadime Sener*,
Shrinivas Ramasubramanian,
Angela Yao
ECCV, 2024
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On the Utility of 3D Hand Poses for Action Recognition
Md Salman Shamil,
Dibyadip Chatterjee,
Fadime Sener*,
Shugao Ma,
Angela Yao
ECCV, 2024
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DiffH2O: Diffusion-Based Synthesis of Hand-Object Interactions from Textual Descriptions
Sammy Christen,
Shreyas Hampali,
Fadime Sener*,
Edoardo Remelli,
Tomas Hodan,
Eric Sauser ,
Shugao Ma
Bugra Tekin,
SIGGRAPH Asia, 2024
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X-MIC: Cross-Modal Instance Conditioning for Egocentric Action Generalization
Anna Kukleva,
Fadime Sener*,
Edoardo Remelli,
Bugra Tekin,
Eric Sauser ,
Bernt Schiele,
Shugao Ma
CVPR, 2024
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Opening the Vocabulary of Egocentric Actions
Dibyadip Chatterjee,
Fadime Sener*,
Shugao Ma,
Angela Yao
NeurIPS, 2023
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Temporal Action Segmentation: An Analysis of Modern Techniques
Guodong Ding,
Fadime Sener*,
Angela Yao
TPAMI, 2023
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Every Mistake Counts: Spatial and Temporal Beliefs for Mistake Detection in Assembly Tasks
Guodong Ding,
Fadime Sener*,
Shugao Ma,
Angela Yao
Arxiv, 2023
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AssemblyHands: Towards Egocentric Activity Understanding via 3D Hand Pose Estimation
Takehiko Ohkawa,
Kun He,
Fadime Sener*,
Tomas Hodan,
Luan Tran,
Cem Keskin
CVPR, 2023
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Transferring Knowledge from Text to Video: Zero-Shot Anticipation for Procedural Actions
Fadime Sener*,
Rishabh Saraf,
Angela Yao
TPAMI, 2022
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Transformed ROIs for Capturing Visual Transformations in Videos
Abhinav Rai,
Fadime Sener*,
Angela Yao
CVIU, 2022
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Assembly101: A Large-Scale Multi-View Video Dataset for Understanding Procedural Activities
Fadime Sener*,
Dibyadip Chatterjee,
Daniel Shelepov,
Kun He,
Dipika Singhania,
Robert Wang,
Angela Yao
CVPR, 2022
EgoVis 2022/2023 Distinguished Paper Winner
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Video
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Technical report: Temporal aggregate representations
Fadime Sener*,
Dibyadip Chatterjee,
Angela Yao
Arxiv, EPIC-KITCHENS-Challenges, 2021
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Temporal aggregate representations for long-range video understanding
Fadime Sener*,
Dipika Singhania,
Angela Yao
ECCV, 2020
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Unsupervised Learning of Action Classes with Continuous Temporal Embedding
Anna Kukleva,
Hilde Kuehne,
Fadime Sener*,
Jürgen Gall
CVPR, 2019
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Learning Style Compatibility for Furniture
Divyansh Aggarwal,
Elchin Valiyev,
Fadime Sener*,
Angela Yao
GCPR, 2019
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Learning Style Compatibility for Furniture
Fadime Sener*,
Angela Yao
ICCV, 2019
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Unsupervised Learning and Segmentation of Complex Activities from Video
Fadime Sener*,
Angela Yao
CVPR, 2018. Spotlight
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DRAW: Deep networks for Recognizing styles of Artists Who illustrate children's books
Samet Hicsonmez,
Nermin Samet,
Fadime Sener*,
Pinar Duygulu
ACM ICMR, 2017
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Two-person interaction recognition via spatial multiple instance embedding
Fadime Sener*,
Nazli Ikizler-Cinbis
JVCIR, 2015
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Ensemble of multiple instance classifiers for image re-ranking
Fadime Sener*,
Nazli Ikizler-Cinbis
IMAVIS, 2014
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Identification of illustrators
Fadime Sener*,
Nermin Samet,
Pinar Duygulu
ECCV'W, 2012
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On recognizing actions in still images via multiple features
Fadime Sener*,
Nazli Ikizler-Cinbis
ECCV'W, 2012
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