Alert button

"Information": models, code, and papers
Alert button

Disentangled Face Attribute Editing via Instance-Aware Latent Space Search

May 26, 2021
Yuxuan Han, Jiaolong Yang, Ying Fu

Figure 1 for Disentangled Face Attribute Editing via Instance-Aware Latent Space Search
Figure 2 for Disentangled Face Attribute Editing via Instance-Aware Latent Space Search
Figure 3 for Disentangled Face Attribute Editing via Instance-Aware Latent Space Search
Figure 4 for Disentangled Face Attribute Editing via Instance-Aware Latent Space Search
Viaarxiv icon

Examining and Combating Spurious Features under Distribution Shift

Jun 14, 2021
Chunting Zhou, Xuezhe Ma, Paul Michel, Graham Neubig

Figure 1 for Examining and Combating Spurious Features under Distribution Shift
Figure 2 for Examining and Combating Spurious Features under Distribution Shift
Figure 3 for Examining and Combating Spurious Features under Distribution Shift
Figure 4 for Examining and Combating Spurious Features under Distribution Shift
Viaarxiv icon

Predicting Aqueous Solubility of Organic Molecules Using Deep Learning Models with Varied Molecular Representations

May 26, 2021
Gihan Panapitiya, Michael Girard, Aaron Hollas, Vijay Murugesan, Wei Wang, Emily Saldanha

Figure 1 for Predicting Aqueous Solubility of Organic Molecules Using Deep Learning Models with Varied Molecular Representations
Figure 2 for Predicting Aqueous Solubility of Organic Molecules Using Deep Learning Models with Varied Molecular Representations
Figure 3 for Predicting Aqueous Solubility of Organic Molecules Using Deep Learning Models with Varied Molecular Representations
Figure 4 for Predicting Aqueous Solubility of Organic Molecules Using Deep Learning Models with Varied Molecular Representations
Viaarxiv icon

Approach for modeling single branches of meadow orchard trees with 3D point clouds

Apr 12, 2021
Jonas Straub, David Reiser, Hans W. Griepentrog

Figure 1 for Approach for modeling single branches of meadow orchard trees with 3D point clouds
Figure 2 for Approach for modeling single branches of meadow orchard trees with 3D point clouds
Figure 3 for Approach for modeling single branches of meadow orchard trees with 3D point clouds
Figure 4 for Approach for modeling single branches of meadow orchard trees with 3D point clouds
Viaarxiv icon

Volumetric Propagation Network: Stereo-LiDAR Fusion for Long-Range Depth Estimation

Mar 24, 2021
Jaesung Choe, Kyungdon Joo, Tooba Imtiaz, In So Kweon

Figure 1 for Volumetric Propagation Network: Stereo-LiDAR Fusion for Long-Range Depth Estimation
Figure 2 for Volumetric Propagation Network: Stereo-LiDAR Fusion for Long-Range Depth Estimation
Figure 3 for Volumetric Propagation Network: Stereo-LiDAR Fusion for Long-Range Depth Estimation
Figure 4 for Volumetric Propagation Network: Stereo-LiDAR Fusion for Long-Range Depth Estimation
Viaarxiv icon

Time-series Imputation of Temporally-occluded Multiagent Trajectories

Jun 08, 2021
Shayegan Omidshafiei, Daniel Hennes, Marta Garnelo, Eugene Tarassov, Zhe Wang, Romuald Elie, Jerome T. Connor, Paul Muller, Ian Graham, William Spearman, Karl Tuyls

Figure 1 for Time-series Imputation of Temporally-occluded Multiagent Trajectories
Figure 2 for Time-series Imputation of Temporally-occluded Multiagent Trajectories
Figure 3 for Time-series Imputation of Temporally-occluded Multiagent Trajectories
Figure 4 for Time-series Imputation of Temporally-occluded Multiagent Trajectories
Viaarxiv icon

Fast Power Control Adaptation via Meta-Learning for Random Edge Graph Neural Networks

May 02, 2021
Ivana Nikoloska, Osvaldo Simeone

Figure 1 for Fast Power Control Adaptation via Meta-Learning for Random Edge Graph Neural Networks
Figure 2 for Fast Power Control Adaptation via Meta-Learning for Random Edge Graph Neural Networks
Figure 3 for Fast Power Control Adaptation via Meta-Learning for Random Edge Graph Neural Networks
Viaarxiv icon

Temporal graph-based approach for behavioural entity classification

May 11, 2021
Francesco Zola, Lander Segurola, Jan Lukas Bruse, Mikel Galar Idoate

Figure 1 for Temporal graph-based approach for behavioural entity classification
Figure 2 for Temporal graph-based approach for behavioural entity classification
Figure 3 for Temporal graph-based approach for behavioural entity classification
Figure 4 for Temporal graph-based approach for behavioural entity classification
Viaarxiv icon

On the Effectiveness of Dataset Embeddings in Mono-lingual,Multi-lingual and Zero-shot Conditions

Mar 01, 2021
Rob van der Goot, Ahmet Üstün, Barbara Plank

Figure 1 for On the Effectiveness of Dataset Embeddings in Mono-lingual,Multi-lingual and Zero-shot Conditions
Figure 2 for On the Effectiveness of Dataset Embeddings in Mono-lingual,Multi-lingual and Zero-shot Conditions
Figure 3 for On the Effectiveness of Dataset Embeddings in Mono-lingual,Multi-lingual and Zero-shot Conditions
Figure 4 for On the Effectiveness of Dataset Embeddings in Mono-lingual,Multi-lingual and Zero-shot Conditions
Viaarxiv icon

Permutation invariance and uncertainty in multitemporal image super-resolution

May 26, 2021
Diego Valsesia, Enrico Magli

Figure 1 for Permutation invariance and uncertainty in multitemporal image super-resolution
Figure 2 for Permutation invariance and uncertainty in multitemporal image super-resolution
Figure 3 for Permutation invariance and uncertainty in multitemporal image super-resolution
Figure 4 for Permutation invariance and uncertainty in multitemporal image super-resolution
Viaarxiv icon