8 citations · 23 across the 9 of their papers we have counts for
9 papers
MotionMap: Representing Multimodality in Human Pose Forecasting
Reyhaneh Hosseininejad, Megh Shukla, Saeed Saadatnejad +2
Human pose forecasting is inherently multimodal since multiple futures exist for an observed pose sequence. However, evaluating multimodality is challenging since the task is ill-p…
Certified Human Trajectory Prediction
Mohammadhossein Bahari, Saeed Saadatnejad, Amirhossein Askari Farsangi +2
Predicting human trajectories is essential for the safe operation of autonomous vehicles, yet current data-driven models often lack robustness in case of noisy inputs such as adver…
Toward Reliable Human Pose Forecasting with Uncertainty
Saeed Saadatnejad, Mehrshad Mirmohammadi, Matin Daghyani +6
Recently, there has been an arms race of pose forecasting methods aimed at solving the spatio-temporal task of predicting a sequence of future 3D poses of a person given a sequence…
A generic diffusion-based approach for 3D human pose prediction in the wild
Saeed Saadatnejad, Ali Rasekh, Mohammadreza Mofayezi +4
Predicting 3D human poses in real-world scenarios, also known as human pose forecasting, is inevitably subject to noisy inputs arising from inaccurate 3D pose estimations and occlu…
Pedestrian 3D Bounding Box Prediction
Saeed Saadatnejad, Yi Zhou Ju, Alexandre Alahi
Safety is still the main issue of autonomous driving, and in order to be globally deployed, they need to predict pedestrians' motions sufficiently in advance. While there is a lot…
A Shared Representation for Photorealistic Driving Simulators
Saeed Saadatnejad, Siyuan Li, Taylor Mordan +1
A powerful simulator highly decreases the need for real-world tests when training and evaluating autonomous vehicles. Data-driven simulators flourished with the recent advancement…
Vehicle trajectory prediction works, but not everywhere
Mohammadhossein Bahari, Saeed Saadatnejad, Ahmad Rahimi +4
Vehicle trajectory prediction is nowadays a fundamental pillar of self-driving cars. Both the industry and research communities have acknowledged the need for such a pillar by prov…
SVG-Net: An SVG-based Trajectory Prediction Model
Mohammadhossein Bahari, Vahid Zehtab, Sadegh Khorasani +3
Anticipating motions of vehicles in a scene is an essential problem for safe autonomous driving systems. To this end, the comprehension of the scene's infrastructure is often the m…
Are socially-aware trajectory prediction models really socially-aware?
Saeed Saadatnejad, Mohammadhossein Bahari, Pedram Khorsandi +3
Our field has recently witnessed an arms race of neural network-based trajectory predictors. While these predictors are at the core of many applications such as autonomous navigati…