Papers
Hyperdimensional Feature Fusion for Out-of-Distribution Detection
Samuel Wilson, Tobias Fischer, Niko Sünderhauf et al.
HyperPosePDF - Hypernetworks Predicting the Probability Distribution on SO(3)
Timon Höfer, Benjamin Kiefer, Martin Messmer et al.
HyperShot: Few-Shot Learning by Kernel HyperNetworks
Marcin Sendera, Marcin Przewięźlikowski, Konrad Karanowski et al.
Hyperspherical Quantization: Toward Smaller and More Accurate Models
Dan Liu, Xi Chen, Chen Ma et al.
iColoriT: Towards Propagating Local Hints to the Right Region in Interactive Colorization by Leveraging Vision Transformer
Jooyeol Yun, Sanghyeon Lee, Minho Park et al.
IDD-3D: Indian Driving Dataset for 3D Unstructured Road Scenes
Shubham Dokania, A. H. Abdul Hafez, Anbumani Subramanian et al.
IFQA: Interpretable Face Quality Assessment
Byungho Jo, Donghyeon Cho, In Kyu Park et al.
Image Completion With Heterogeneously Filtered Spectral Hints
Xingqian Xu, Shant Navasardyan, Vahram Tadevosyan et al.
Image-Consistent Detection of Road Anomalies As Unpredictable Patches
Tomáš Vojíř, Jiří Matas
Image-Free Domain Generalization via CLIP for 3D Hand Pose Estimation
Seongyeong Lee, Hansoo Park, Dong Uk Kim et al.
Image Segmentation-Based Unsupervised Multiple Objects Discovery
Sandra Kara, Hejer Ammar, Florian Chabot et al.
Image-Text Pre-Training for Logo Recognition
Mark Hubenthal, Suren Kumar
ImpDet: Exploring Implicit Fields for 3D Object Detection
Xuelin Qian, Li Wang, Yi Zhu et al.
ImPosing: Implicit Pose Encoding for Efficient Visual Localization
Arthur Moreau, Thomas Gilles, Nathan Piasco et al.
Improving Deep Facial Phenotyping for Ultra-Rare Disorder Verification Using Model Ensembles
Alexander Hustinx, Fabio Hellmann, Ömer Sümer et al.
Improving Diversity With Adversarially Learned Transformations for Domain Generalization
Tejas Gokhale, Rushil Anirudh, Jayaraman J. Thiagarajan et al.
Improving Multi-Fidelity Optimization With a Recurring Learning Rate for Hyperparameter Tuning
HyunJae Lee, Gihyeon Lee, Junhwan Kim et al.
Improving Pixel-Level Contrastive Learning by Leveraging Exogenous Depth Information
Ahmed Ben Saad, Kristina Prokopetc, Josselin Kherroubi et al.
Improving Predicate Representation in Scene Graph Generation by Self-Supervised Learning
So Hasegawa, Masayuki Hiromoto, Akira Nakagawa et al.
Improving Saliency Models' Predictions of the Next Fixation With Humans' Intrinsic Cost of Gaze Shifts
Florian Kadner, Tobias Thomas, David Hoppe et al.
Improving the Pair Selection and the Model Fusion Steps of Satellite Multi-View Stereo Pipelines
Alvaro Gómez, Gregory Randall, Gabriele Facciolo et al.
Improving the Robustness of Point Convolution on K-Nearest Neighbor Neighborhoods With a Viewpoint-Invariant Coordinate Transform
Xingyi Li, Wenxuan Wu, Xiaoli Z. Fern et al.
Indirect Adversarial Losses via an Intermediate Distribution for Training GANs
Rui Yang, Duc Minh Vo, Hideki Nakayama
InDiReCT: Language-Guided Zero-Shot Deep Metric Learning for Images
Konstantin Kobs, Michael Steininger, Andreas Hotho
Inducing Data Amplification Using Auxiliary Datasets in Adversarial Training
Saehyung Lee, Hyungyu Lee