activity
20082025
most citedHands-on Bayesian Neural Networks -- a Tutorial for Deep Learning Users

891 citations · 4k across the 97 of their papers we have counts for

collaborators

103 papers

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…

cs.CV2024★ 2 cited

UIFormer: A Unified Transformer-based Framework for Incremental Few-Shot Object Detection and Instance Segmentation

Chengyuan Zhang, Yilin Zhang, Lei Zhu +6

This paper introduces a novel framework for unified incremental few-shot object detection (iFSOD) and instance segmentation (iFSIS) using the Transformer architecture. Our goal is…

cs.CV2024

Referring Human Pose and Mask Estimation in the Wild

Bo Miao, Mingtao Feng, Zijie Wu +3

We introduce Referring Human Pose and Mask Estimation (R-HPM) in the wild, where either a text or positional prompt specifies the person of interest in an image. This new task hold…

cs.CV2024

A Riemannian Approach for Spatiotemporal Analysis and Generation of 4D Tree-shaped Structures

Tahmina Khanam, Hamid Laga, Mohammed Bennamoun +5

We propose the first comprehensive approach for modeling and analyzing the spatiotemporal shape variability in tree-like 4D objects, i.e., 3D objects whose shapes bend, stretch, an…

cs.CV2024★ 1 cited

Faster Image2Video Generation: A Closer Look at CLIP Image Embedding's Impact on Spatio-Temporal Cross-Attentions

Ashkan Taghipour, Morteza Ghahremani, Mohammed Bennamoun +4

This paper investigates the role of CLIP image embeddings within the Stable Video Diffusion (SVD) framework, focusing on their impact on video generation quality and computational…

cs.CV2024★ 67 cited

Deep Learning-based Depth Estimation Methods from Monocular Image and Videos: A Comprehensive Survey

Uchitha Rajapaksha, Ferdous Sohel, Hamid Laga +2

Estimating depth from single RGB images and videos is of widespread interest due to its applications in many areas, including autonomous driving, 3D reconstruction, digital enterta…