7 citations · 7 across the 7 of their papers we have counts for
9 papers · 1 filter
StateCraft: Augmenting Video World Models with Abstract-State Reasoning
Lorenzo Venturoli, Nedko Savov, Xi Wang +2
Video world models aim to simulate complex environments with realistic appearance and dynamics. Maintaining consistency over long interactions requires tracking past actions and un…
Semantic-Aware, Physics-Informed, Geometry-Grounded Weather Video Synthesis
Chenghao Qian, Nedko Savov, Lingdong Kong +7
Weather synthesis aims to add weather effects to input videos while preserving scene identity, structure, and motion. The key limitation of existing methods is the lack of diversit…
From Synchrony to Sequence: Exo-to-Ego Generation via Interpolation
Mohammad Mahdi, Nedko Savov, Danda Pani Paudel +1
Exo-to-Ego video generation aims to synthesize a first-person video from a synchronized third-person view and corresponding camera poses. While paired supervision is available, syn…
Exo2EgoSyn: Unlocking Foundation Video Generation Models for Exocentric-to-Egocentric Video Synthesis
Mohammad Mahdi, Yuqian Fu, Nedko Savov +3
Foundation video generation models such as WAN 2.2 exhibit strong text- and image-conditioned synthesis abilities but remain constrained to the same-view generation setting. In thi…
StateSpaceDiffuser: Bringing Long Context to Diffusion World Models
Nedko Savov, Naser Kazemi, Deheng Zhang +3
World models have recently gained prominence for action-conditioned visual prediction in complex environments. However, relying on only a few recent observations causes them to los…
Exploration-Driven Generative Interactive Environments
Nedko Savov, Naser Kazemi, Mohammad Mahdi +3
Modern world models require costly and time-consuming collection of large video datasets with action demonstrations by people or by environment-specific agents. To simplify trainin…
Learning Generative Interactive Environments By Trained Agent Exploration
Naser Kazemi, Nedko Savov, Danda Paudel +1
World models are increasingly pivotal in interpreting and simulating the rules and actions of complex environments. Genie, a recent model, excels at learning from visually diverse…
Leveraging Driver Field-of-View for Multimodal Ego-Trajectory Prediction
M. Eren Akbiyik, Nedko Savov, Danda Pani Paudel +5
Understanding drivers' decision-making is crucial for road safety. Although predicting the ego-vehicle's path is valuable for driver-assistance systems, existing methods mainly foc…
Spatio-temporal Features for Generalized Detection of Deepfake Videos
Ipek Ganiyusufoglu, L. Minh Ngô, Nedko Savov +2
For deepfake detection, video-level detectors have not been explored as extensively as image-level detectors, which do not exploit temporal data. In this paper, we empirically show…