About

Benchmarks

No evaluation results yet. Help compare methods by submit evaluation metrics.

Greatest papers with code

Tracking without bells and whistles

ICCV 2019 phil-bergmann/tracking_wo_bnw

We then perform an analysis on the performance and failure cases of several state-of-the-art tracking methods in comparison to our Tracktor.

MOTION COMPENSATION MOTION PREDICTION MULTI-OBJECT TRACKING

On human motion prediction using recurrent neural networks

CVPR 2017 facebookresearch/QuaterNet

Human motion modelling is a classical problem at the intersection of graphics and computer vision, with applications spanning human-computer interaction, motion synthesis, and motion prediction for virtual and augmented reality.

HUMAN MOTION PREDICTION MOTION ESTIMATION MOTION PREDICTION MOTION SYNTHESIS

One Thousand and One Hours: Self-driving Motion Prediction Dataset

25 Jun 2020lyft/l5kit

Motivated by the impact of large-scale datasets on ML systems we present the largest self-driving dataset for motion prediction to date, containing over 1, 000 hours of data.

AUTONOMOUS VEHICLES MOTION FORECASTING MOTION PLANNING MOTION PREDICTION

Animating Arbitrary Objects via Deep Motion Transfer

CVPR 2019 AliaksandrSiarohin/monkey-net

This is achieved through a deep architecture that decouples appearance and motion information.

IMAGE ANIMATION MOTION PREDICTION VIDEO GENERATION

3D BAT: A Semi-Automatic, Web-based 3D Annotation Toolbox for Full-Surround, Multi-Modal Data Streams

1 May 2019walzimmer/3d-bat

In this paper, we focus on obtaining 2D and 3D labels, as well as track IDs for objects on the road with the help of a novel 3D Bounding Box Annotation Toolbox (3D BAT).

MOTION PLANNING MOTION PREDICTION

Long-term Human Motion Prediction with Scene Context

ECCV 2020 ZheC/GTA-IM-Dataset

Human movement is goal-directed and influenced by the spatial layout of the objects in the scene.

HUMAN MOTION PREDICTION MOTION PREDICTION

Learning Trajectory Dependencies for Human Motion Prediction

ICCV 2019 wei-mao-2019/LearnTrajDep

In this paper, we propose a simple feed-forward deep network for motion prediction, which takes into account both temporal smoothness and spatial dependencies among human body joints.

HUMAN MOTION PREDICTION HUMAN POSE FORECASTING MOTION CAPTURE MOTION PREDICTION

MotionNet: Joint Perception and Motion Prediction for Autonomous Driving Based on Bird's Eye View Maps

CVPR 2020 pxiangwu/MotionNet

The backbone of MotionNet is a novel spatio-temporal pyramid network, which extracts deep spatial and temporal features in a hierarchical fashion.

AUTONOMOUS DRIVING MOTION PREDICTION

Collaborative Motion Prediction via Neural Motion Message Passing

CVPR 2020 PhyllisH/NMMP

Motion prediction is essential and challenging for autonomous vehicles and social robots.

AUTONOMOUS VEHICLES MOTION PREDICTION