activity
20162026
most citedHands-on Bayesian Neural Networks -- a Tutorial for Deep Learning Users

891 citations · 1.1k across the 27 of their papers we have counts for

collaborators
Showing 2025Show all

6 papers · 1 filter

cs.CV2025★ 1 cited

DynaPURLS: Dynamic Refinement of Part-Aware Representations for Skeleton-Based Zero-Shot Action Recognition

Jingmin Zhu, Anqi Zhu, James Bailey +5

Zero-shot skeleton-based action recognition (ZS-SAR) is fundamentally constrained by prevailing approaches that rely on aligning skeleton features with static, class-level semantic…

cs.CV2025

Hybrid Transformer-Mamba for Weakly Supervised Volumetric Medical Segmentation

Yiheng Lyu, Lian Xu, Coen Arrow +3

Weakly supervised segmentation enables model training from plane-level labels. Existing methods often rely on 2D encoders, neglecting the volumetric nature of medical data. We prop…

cs.CG2025

A Riemannian Framework for the Elastic Analysis of the Spatiotemporal Variability in the Shape and Structure of Tree-like 4D Objects

Tahmina Khanam, Hamid Laga, Mohammed Bennamoun +5

This paper introduces a novel computational framework for modeling and analyzing the spatiotemporal shape variability of tree-like 4D structures whose shapes deform and evolve over…

cs.CV2025

LatentMove: Towards Complex Human Movement Video Generation

Ashkan Taghipour, Morteza Ghahremani, Mohammed Bennamoun +5

Image-to-video (I2V) generation seeks to produce realistic motion sequences from a single reference image. Although recent methods exhibit strong temporal consistency, they often s…

cs.CL2025

Watch and Listen: Understanding Audio-Visual-Speech Moments with Multimodal LLM

Zinuo Li, Xian Zhang, Yongxin Guo +5

Humans naturally understand moments in a video by integrating visual and auditory cues. For example, localizing a scene in the video like "A scientist passionately speaks on wildli…

cs.CV2025

Dynamic Neural Surfaces for Elastic 4D Shape Representation and Analysis

Awais Nizamani, Hamid Laga, Guanjin Wang +3

We propose a novel framework for the statistical analysis of genus-zero 4D surfaces, i.e., 3D surfaces that deform and evolve over time. This problem is particularly challenging du…