Haar Wavelet based Block Autoregressive Flows for Trajectories

Haar, A.: Zur theorie der orthogonalen funktionensysteme. Mathematische Annalen 69(3), 331–371 (1910)

1910

Earlier work this paper cites.

Helbing, D., Molnar, P.: Social force model for pedestrian dynamics. In: Physical review E (1995)

1995

Earlier work this paper cites.

Porwik, P., Lisowska, A.: The haar-wavelet transform in digital image processing: its status and achievements. Machine graphics and vision 13(1/2), 79–98 (2004)

2004

Earlier work this paper cites.

Yamaguchi, K., Berg, A.C., Ortiz, L.E., Berg, T.L.: Who are you with and where are you going? In: CVPR (2011)

2011

Earlier work this paper cites.

Goodfellow, I.J., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A.C., Bengio, Y.: Generative adversarial nets. In: NIPS (2014)

2014

Earlier work this paper cites.

Kingma, D.P., Welling, M.: Auto-encoding variational bayes. In: ICLR (2014)

2014

Earlier work this paper cites.

Dinh, L., Krueger, D., Bengio, Y.: Nice: Non-linear independent components estimation. In: ICLR (2015)

2015

Earlier work this paper cites.

Alahi, A., Goel, K., Ramanathan, V., Robicquet, A., Fei-Fei, L., Savarese, S.: Social lstm: Human trajectory prediction in crowded spaces. In: CVPR (2016)

2016

Earlier work this paper cites.

van den Oord, A., Dieleman, S., Zen, H., Simonyan, K., Vinyals, O., Graves, A., Kalchbrenner, N., Senior, A., Kavukcuoglu, K.: Wavenet: A generative model for raw audio. In: ISCA Speech Synthesis Workshop (2016)

2016

Earlier work this paper cites.

van den Oord, A., Kalchbrenner, N., Espeholt, L., Kavukcuoglu, K., Vinyals, O., Graves, A.: Conditional image generation with PixelCNN decoders. In: NIPS (2016)

2016

Earlier work this paper cites.

Robicquet, A., Sadeghian, A., Alahi, A., Savarese, S.: Learning social etiquette: Human trajectory understanding in crowded scenes. In: ECCV (2016)

2016

Earlier work this paper cites.

Dinh, L., Sohl-Dickstein, J., Bengio, S.: Density estimation using real nvp. In: ICLR (2017)

2017

Earlier work this paper cites.

Lee, N., Choi, W., Vernaza, P., Choy, C.B., Torr, P.H., Chandraker, M.: Desire: Distant future prediction in dynamic scenes with interacting agents. In: CVPR (2017)

2017

Earlier work this paper cites.

Bhattacharyya, A., Schiele, B., Fritz, M.: Accurate and diverse sampling of sequences based on a “best of many” sample objective. In: CVPR (2018)

2018

Earlier work this paper cites.

Cremer, C., Li, X., Duvenaud, D.: Inference suboptimality in variational autoencoders. ICML (2018)

2018

Cited alongside, same era.

Deo, N., Trivedi, M.M.: Convolutional social pooling for vehicle trajectory prediction. In: CVPR Workshop (2018)

2018

Cited alongside, same era.

Felsen, P., Lucey, P., Ganguly, S.: Where will they go? predicting fine-grained adversarial multi-agent motion using conditional variational autoencoders. In: ECCV (2018)

2018

Cited alongside, same era.

Gupta, A., Johnson, J., Fei-Fei, L., Savarese, S., Alahi, A.: Social gan: Socially acceptable trajectories with generative adversarial networks. In: CVPR (2018)

2018

Cited alongside, same era.

Kingma, D.P., Dhariwal, P.: Glow: Generative flow with invertible 1x1 convolutions. In: NeurIPS (2018)

2018

Cited alongside, same era.

Deo, N., Trivedi, M.M.: Scene induced multi-modal trajectory forecasting via planning. In: ICRA Workshop (2019)

2019

Later among the works it cites.

Ho, J., Chen, X., Srinivas, A., Duan, Y., Abbeel, P.: Flow++: Improving flow-based generative models with variational dequantization and architecture design. In: ICML (2019)

2019

Later among the works it cites.

Kim, S., Lee, S.G., Song, J., Kim, J., Yoon, S.: Flowavenet: A generative flow for raw audio. In: ICML (2019)

2019

Later among the works it cites.

Ma, Y., Zhu, X., Zhang, S., Yang, R., Wang, W., Manocha, D.: Trafficpredict: Trajectory prediction for heterogeneous traffic-agents. In: AAAI (2019)

2019

Later among the works it cites.

Sadeghian, A., Kosaraju, V., Sadeghian, A., Hirose, N., Rezatofighi, S.H., Savarese, S.: Sophie: An attentive gan for predicting paths compliant to social and physical constraints. In: CVPR (2019)