Papers
Active Transfer Learning for Efficient Video-Specific Human Pose Estimation
Hiromu Taketsugu, Norimichi Ukita
Activity-Based Early Autism Diagnosis Using a Multi-Dataset Supervised Contrastive Learning Approach
Asha Rani, Yashaswi Verma
Adaptive Deep Neural Network Inference Optimization With EENet
Fatih Ilhan, Ka-Ho Chow, Sihao Hu et al.
Adaptive Manifold for Imbalanced Transductive Few-Shot Learning
Michalis Lazarou, Yannis Avrithis, Tania Stathaki
Adapt Your Teacher: Improving Knowledge Distillation for Exemplar-Free Continual Learning
Filip Szatkowski, Mateusz Pyla, Marcin Przewięźlikowski et al.
Adversarial Likelihood Estimation With One-Way Flows
Omri Ben-Dov, Pravir Singh Gupta, Victoria Abrevaya et al.
AFTer-SAM: Adapting SAM With Axial Fusion Transformer for Medical Imaging Segmentation
Xiangyi Yan, Shanlin Sun, Kun Han et al.
A Generative Multi-Resolution Pyramid and Normal-Conditioning 3D Cloth Draping
Hunor Laczkó, Meysam Madadi, Sergio Escalera et al.
A Generic and Flexible Regularization Framework for NeRFs
Thibaud Ehret, Roger Marí, Gabriele Facciolo
A Geometry Loss Combination for 3D Human Pose Estimation
Ai Matsune, Shichen Hu, Guangquan Li et al.
A Hybrid Graph Network for Complex Activity Detection in Video
Salman Khan, Izzeddin Teeti, Andrew Bradley et al.
Aligning Non-Causal Factors for Transformer-Based Source-Free Domain Adaptation
Sunandini Sanyal, Ashish Ramayee Asokan, Suvaansh Bhambri et al.
Alleviating Foreground Sparsity for Semi-Supervised Monocular 3D Object Detection
Weijia Zhang, Dongnan Liu, Chao Ma et al.
AMEND: Adaptive Margin and Expanded Neighborhood for Efficient Generalized Category Discovery
Anwesha Banerjee, Liyana Sahir Kallooriyakath, Soma Biswas
Amodal Intra-Class Instance Segmentation: Synthetic Datasets and Benchmark
Jiayang Ao, Qiuhong Ke, Krista A. Ehinger
A Multimodal Benchmark and Improved Architecture for Zero Shot Learning
Keval Doshi, Amanmeet Garg, Burak Uzkent et al.
Analyzing the Domain Shift Immunity of Deep Homography Estimation
Mingzhen Shao, Tolga Tasdizen, Sarang Joshi
An Analysis of Initial Training Strategies for Exemplar-Free Class-Incremental Learning
Grégoire Petit, Michaël Soumm, Eva Feillet et al.
A Neural Height-Map Approach for the Binocular Photometric Stereo Problem
Fotios Logothetis, Ignas Budvytis, Roberto Cipolla
Annotation-Free Audio-Visual Segmentation
Jinxiang Liu, Yu Wang, Chen Ju et al.
AnyStar: Domain Randomized Universal Star-Convex 3D Instance Segmentation
Neel Dey, Mazdak Abulnaga, Benjamin Billot et al.
A One-Shot Learning Approach To Document Layout Segmentation of Ancient Arabic Manuscripts
Axel De Nardin, Silvia Zottin, Claudio Piciarelli et al.
Appearance-Based Curriculum for Semi-Supervised Learning With Multi-Angle Unlabeled Data
Yuki Tanaka, Shuhei M. Yoshida, Takashi Shibata et al.