Ajani, O.S.[Oladayo S.]
* 2022: GridShift: A Faster Mode-seeking Algorithm for Image Segmentation and Object Tracking
Ajankar, S.[Sonali]
* 2024: Image-Relevant Entities Knowledge-Aware News Image Captioning
Ajanohoun, J.[Jordy]
* 2021: Multi-View Human Model Fitting Using Bone Orientation Constraint and Joints Triangulation
Ajanthan, T.[Thalaiyasingam]
* 2015: Iteratively reweighted graph cut for multi-label MRFs with non-convex priors
* 2016: Memory Efficient Max Flow for Multi-Label Submodular MRFs
* 2017: Efficient Linear Programming for Dense CRFs
* 2018: Riemannian Walk for Incremental Learning: Understanding Forgetting and Intransigence
* 2018: Semi-supervised Deep Generative Model for Human Body Analysis, A
* 2019: Conditional Deep Generative Model of People in Natural Images, A
* 2019: Efficient Relaxations for Dense CRFs with Sparse Higher-Order Potentials
* 2019: Learning to Adapt for Stereo
* 2019: Memory Efficient Max Flow for Multi-Label Submodular MRFs
* 2019: Proximal Mean-Field for Neural Network Quantization
* 2020: DGPose: Deep Generative Models for Human Body Analysis
* 2020: Fast and Differentiable Message Passing on Pairwise Markov Random Fields
* 2020: Pairwise Similarity Knowledge Transfer for Weakly Supervised Object Localization
* 2020: RANP: Resource Aware Neuron Pruning at Initialization for 3D CNNs
* 2021: Chaos Theory Approach to Understand Neural Network Optimization, A
* 2022: Few-shot Weakly-Supervised Object Detection via Directional Statistics
* 2022: Retrieval Augmented Classification for Long-Tail Visual Recognition
* 2023: Semi-Supervised Semantic Segmentation under Label Noise via Diverse Learning Groups
Includes: Ajanthan, T.[Thalaiyasingam] Ajanthan, T.
18 for Ajanthan, T.