115 citations · 450 across the 154 of their papers we have counts for
11 papers · 1 filter
Do Satellites See Commuters? A Critical Benchmark of Vision Foundation Models
Ashiq Shukoor Iqbal, Wilson Wongso, Flora D. Salim
Satellite foundation models offer a globally available alternative to census data for commuting origin-destination (OD) generation, yet no study has systematically compared encoder…
Reasoning-aware Speculative Decoding for Efficient Vision-Language-Action Models in Autonomous Driving
Anh Dung Dinh, Simon Khan, Flora Salim
Modern Vision-Language-Action (VLA) planners for autonomous driving emit a chain-of-causation (CoC) reasoning step \emph{before} producing a trajectory. The reasoning is autoregres…
AnyMo: Geometry-Aware Setup-Agnostic Modeling of Human Motion in the Wild
Baiyu Chen, Zechen Li, Wilson Wongso +5
As wearable and mobile devices become increasingly embedded in daily life, they offer a practical way to continuously sense human motion in the wild. But inertial signals are highl…
DynaTokens: Controlling Token Dynamics for Continual Video-Language Understanding
Toan Nguyen, Yang Liu, Celso De Melo +1
Continual VideoQA with multimodal LLMs remains challenging because sequential adaptation induces task interference, while storing task-specific prompts becomes impractical as task…
Resolving Ambiguity in Gaze-Facilitated Visual Assistant Interaction Paradigm
Zeyu Wang, Baiyu Chen, Kun Yan +5
With the rise in popularity of smart glasses, users' attention has been integrated into Vision-Language Models (VLMs) to streamline multi-modal querying in daily scenarios. However…
Bisecle: Binding and Separation in Continual Learning for Video Language Understanding
Yue Tan, Xiaoqian Hu, Hao Xue +2
Frontier vision-language models (VLMs) have made remarkable improvements in video understanding tasks. However, real-world videos typically exist as continuously evolving data stre…
Generate the Forest before the Trees -- A Hierarchical Diffusion model for Climate Downscaling
Declan J. Curran, Sanaa Hobeichi, Hira Saleem +2
Downscaling is essential for generating the high-resolution climate data needed for local planning, but traditional methods remain computationally demanding. Recent years have seen…
COMODO: Cross-Modal Video-to-IMU Distillation for Efficient Egocentric Human Activity Recognition
Baiyu Chen, Wilson Wongso, Zechen Li +3
The goal of creating intelligent, human-centered wearable systems for continuous activity understanding faces a fundamental trade-off: Egocentric video-based models capture rich se…
Resolution-Agnostic Transformer-based Climate Downscaling
Declan Curran, Hira Saleem, Sanaa Hobeichi +1
Understanding future weather changes at regional and local scales is crucial for planning and decision-making, particularly in the context of extreme weather events, as well as for…
SCONE-GAN: Semantic Contrastive learning-based Generative Adversarial Network for an end-to-end image translation
Iman Abbasnejad, Fabio Zambetta, Flora Salim +4
SCONE-GAN presents an end-to-end image translation, which is shown to be effective for learning to generate realistic and diverse scenery images. Most current image-to-image transl…
flexgrid2vec: Learning Efficient Visual Representations Vectors
Ali Hamdi, Du Yong Kim, Flora D. Salim
We propose flexgrid2vec, a novel approach for image representation learning. Existing visual representation methods suffer from several issues, including the need for highly intens…