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Monfort, Mathew
19  Ergebnisse:
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1

Model ChangeLists: Characterizing Updates to ML Models:

, In: Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency,
Eyuboglu, Sabri ; Goel, Karan ; Desai, Arjun... - p. 2432-2453 , 2024
Link: https://dl.acm.org/doi/1..
 
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2

Multi-Moments in Time: Learning and Interpreting Models for..:

Monfort, Mathew ; Pan, Bowen ; Ramakrishnan, Kandan...
IEEE Transactions on Pattern Analysis and Machine Intelligence.  44 (2022)  12 - p. 9434-9445 , 2022
Link: https://doi.org/10.1109/..
 
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3

Spoken Moments: A Large Scale Dataset of Audio Descriptions..:

Monfort, Mathew ; Jin, SouYoung ; Harwath, David...
Journal of Vision.  20 (2020)  11 - p. 1447 , 2020
Link: https://doi.org/10.1167/..
 
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4

Moments in Time Dataset: One Million Videos for Event Under..:

Monfort, Mathew ; Vondrick, Carl ; Oliva, Aude...
IEEE Transactions on Pattern Analysis and Machine Intelligence.  42 (2020)  2 - p. 502-508 , 2020
Link: https://doi.org/10.1109/..
 
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5

We Have So Much in Common: Modeling Semantic Relational Set..:

, In: Computer Vision – ECCV 2020; Lecture Notes in Computer Science,
Andonian, Alex ; Fosco, Camilo ; Monfort, Mathew... - p. 18-34 , 2020
Link: https://doi.org/10.1007/..
 
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6

Examining Class Dependant Sub-Paths in Deep Neural Networks:

Monfort, Mathew ; Ramakrishnan, Kandan ; Andonian, Alex.
Journal of Vision.  19 (2019)  10 - p. 28b , 2019
Link: https://doi.org/10.1167/..
 
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7

A cognitively-aligned representational space for DNNs:

Ramakrishnan, Kandan ; Mohsenzadeh, Yalda ; Monfort, Mathew.
Journal of Vision.  19 (2019)  10 - p. 61 , 2019
Link: https://doi.org/10.1167/..
 
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8

Reasoning About Human-Object Interactions Through Dual Atte..:

, In: 2019 IEEE/CVF International Conference on Computer Vision (ICCV),
Xiao, Tete ; Fan, Quanfu ; Gutfreund, Danny... - p. 3918-3927 , 2019
Link: https://doi.org/10.1109/..
 
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9

Multi-Agent Tensor Fusion for Contextual Trajectory Predict..:

, In: 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),
Zhao, Tianyang ; Xu, Yifei ; Monfort, Mathew... - p. 12118-12126 , 2019
Link: https://doi.org/10.1109/..
 
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10

A Large Scale Video Dataset for Event Recognition:

Monfort, Mathew ; Zhou, Bolei ; Bargal, Sarah...
Journal of Vision.  18 (2018)  10 - p. 753 , 2018
Link: https://doi.org/10.1167/..
 
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11

Asynchronous Data Aggregation for Training End to End Visua..:

, In: Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems,
Monfort, Mathew ; Johnson, Matthew ; Oliva, Aude. - p. 530-537 , 2017
Link: https://dl.acm.org/doi/1..
 
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12

Spoken Moments: Learning Joint Audio-Visual Representations..:

Monfort, Mathew ; Jin, SouYoung ; Liu, Alexander...
http://arxiv.org/abs/2105.04489.  , 2021
Link: http://arxiv.org/abs/210..
 
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13

We Have So Much In Common: Modeling Semantic Relational Set..:

Andonian, Alex ; Fosco, Camilo ; Monfort, Mathew...
http://arxiv.org/abs/2008.05596.  , 2020
Link: http://arxiv.org/abs/200..
 
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14

Multi-Agent Tensor Fusion for Contextual Trajectory Predict..:

Zhao, Tianyang ; Xu, Yifei ; Monfort, Mathew...
http://arxiv.org/abs/1904.04776.  , 2019
Link: http://arxiv.org/abs/190..
 
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15

Multi-Moments in Time: Learning and Interpreting Models for..:

Monfort, Mathew ; Pan, Bowen ; Ramakrishnan, Kandan...
http://arxiv.org/abs/1911.00232.  , 2019
Link: http://arxiv.org/abs/191..
 
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