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Publications of year 2021
Articles in journal or book chapters
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Q. Le Lidec,
I. Kalevatykh,
I. Laptev,
C. Schmid,
and J. Carpentier.
Differentiable simulation for physical system identification.
IEEE Robotics and Automation Letters,
2021.
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G. Varol,
I. Laptev,
C. Schmid,
and A. Zisserman.
Synthetic Humans for Action Recognition from Unseen Viewpoints.
International Journal of Computer Vision,
2021.
Conference articles
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E. Chane-Sane,
C. Schmid,
and I. Laptev.
Goal-Conditioned Reinforcement Learning with Imagined Subgoals.
In ICML,
2021.
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S. Chen,
P.-L. Guhur,
C. Schmid,
and I. Laptev.
History Aware Multimodal Transformer for Vision-and-Language Navigation.
In NeurIPS,
2021.
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T. Chu,
X. Li,
H. V. Vo,
R. M. Summers,
and E. Sizikova.
Improving Weakly Supervised Lesion Segmentation Using Multi-Task Learning.
In MIDL,
2021.
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Y. Labbé,
J. Carpentier,
M. Aubry,
and J. Sivic.
Single-view robot pose and joint angle estimation via render & compare.
In IEEE Conference on Computer Vision and Pattern Recognition,
2021.
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Q. Le Lidec,
I. Laptev,
C. Schmid,
and J. Carpentier.
Differentiable rendering with perturbed optimizers.
In NeurIPS,
2021.
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G. Le Moing,
J. Ponce,
and C. Schmid.
CCVS: Context-aware Controllable Video Synthesis.
In NeurIPS,
2021.
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T. Monnier,
E. Vincent,
J. Ponce,
and M. Aubry.
Unsupervised Layered Image Decomposition into Object Prototypes.
In International Conference on Computer Vision,
2021.
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O. Siméoni,
G. Puy,
H. V. Vo,
S. Roburin,
S. Gidaris,
A. Bursuc,
P. Pérez,
R. Marlet,
and J. Ponce.
Localizing Objects with Self-Supervised Transformers and no Labels.
In ,
2021.
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H. V. Vo,
E. Sizikova,
C. Schmid,
P. Perez,
and J. Ponce.
Large-Scale Unsupervised Object Discovery.
In NeurIPS,
2021.
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A. Yang,
A. Miech,
J. Sivic,
I. Laptev,
and C. Schmid.
Just Ask: Learning to Answer Questions from Millions of Narrated Videos.
In International Conference on Computer Vision,
2021.
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