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Greatest papers with code

Improving Video Generation for Multi-functional Applications

30 Nov 2017bernhard2202/improved-video-gan

In this paper, we aim to improve the state-of-the-art video generative adversarial networks (GANs) with a view towards multi-functional applications.

COLORIZATION FUTURE PREDICTION VIDEO GENERATION VIDEO INPAINTING

Decomposing Motion and Content for Natural Video Sequence Prediction

25 Jun 2017rubenvillegas/iclr2017mcnet

To the best of our knowledge, this is the first end-to-end trainable network architecture with motion and content separation to model the spatiotemporal dynamics for pixel-level future prediction in natural videos.

FUTURE PREDICTION

Predicting 3D Human Dynamics from Video

ICCV 2019 jasonyzhang/phd

In this work, we present perhaps the first approach for predicting a future 3D mesh model sequence of a person from past video input.

3D HUMAN DYNAMICS 3D HUMAN POSE ESTIMATION FUTURE PREDICTION LANGUAGE MODELLING

Interpreting Tree Ensembles with inTrees

23 Aug 2014IBCNServices/GENESIM

Tree ensembles such as random forests and boosted trees are accurate but difficult to understand, debug and deploy.

FUTURE PREDICTION

Compositional Video Prediction

ICCV 2019 JudyYe/CVP

We present an approach for pixel-level future prediction given an input image of a scene.

FUTURE PREDICTION VIDEO PREDICTION

Data-Efficient Reinforcement Learning with Self-Predictive Representations

ICLR 2021 mila-iqia/spr

We further improve performance by adding data augmentation to the future prediction loss, which forces the agent's representations to be consistent across multiple views of an observation.

DATA AUGMENTATION FUTURE PREDICTION GENERAL REINFORCEMENT LEARNING SELF-SUPERVISED LEARNING

DESIRE: Distant Future Prediction in Dynamic Scenes with Interacting Agents

CVPR 2017 yadrimz/DESIRE

DESIRE effectively predicts future locations of objects in multiple scenes by 1) accounting for the multi-modal nature of the future prediction (i. e., given the same context, future may vary), 2) foreseeing the potential future outcomes and make a strategic prediction based on that, and 3) reasoning not only from the past motion history, but also from the scene context as well as the interactions among the agents.

FUTURE PREDICTION TRAJECTORY PREDICTION

Deep RNN Framework for Visual Sequential Applications

CVPR 2019 BoPang1996/Deep-RNN-Framework

There are mainly two novel designs in our deep RNN framework: one is a new RNN module called Context Bridge Module (CBM) which splits the information flowing along the sequence (temporal direction) and along depth (spatial representation direction), making it easier to train when building deep by balancing these two directions; the other is the Overlap Coherence Training Scheme that reduces the training complexity for long visual sequential tasks on account of the limitation of computing resources.

FUTURE PREDICTION SSIM VIDEO CLASSIFICATION

INFER: INtermediate representations for FuturE pRediction

26 Mar 2019talsperre/INFER

Uncharacteristic of state-of-the-art approaches, our representations and models generalize to completely different datasets, collected across several cities, and also across countries where people drive on opposite sides of the road (left-handed vs right-handed driving).

ACTIVITY PREDICTION FUTURE PREDICTION MULTI-OBJECT TRACKING TRAJECTORY PREDICTION