29 citations · 44 across the 7 of their papers we have counts for
7 papers
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…
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…
RS-Reg: Probabilistic and Robust Certified Regression Through Randomized Smoothing
Aref Miri Rekavandi, Olga Ohrimenko, Benjamin I. P. Rubinstein
Randomized smoothing has shown promising certified robustness against adversaries in classification tasks. Despite such success with only zeroth-order access to base models, random…
Box It to Bind It: Unified Layout Control and Attribute Binding in T2I Diffusion Models
Ashkan Taghipour, Morteza Ghahremani, Mohammed Bennamoun +3
While latent diffusion models (LDMs) excel at creating imaginative images, they often lack precision in semantic fidelity and spatial control over where objects are generated. To a…
Transformers in Small Object Detection: A Benchmark and Survey of State-of-the-Art
Aref Miri Rekavandi, Shima Rashidi, Farid Boussaid +3
Transformers have rapidly gained popularity in computer vision, especially in the field of object recognition and detection. Upon examining the outcomes of state-of-the-art object…
IT-RUDA: Information Theory Assisted Robust Unsupervised Domain Adaptation
Shima Rashidi, Ruwan Tennakoon, Aref Miri Rekavandi +7
Distribution shift between train (source) and test (target) datasets is a common problem encountered in machine learning applications. One approach to resolve this issue is to use…
A Guide to Image and Video based Small Object Detection using Deep Learning : Case Study of Maritime Surveillance
Aref Miri Rekavandi, Lian Xu, Farid Boussaid +3
Small object detection (SOD) in optical images and videos is a challenging problem that even state-of-the-art generic object detection methods fail to accurately localize and ident…