Xiao, Junfei, Jing, Longlong, Zhang, Lin, He, Ju, She, Qi, Zhou, Zongwei, Yuille, Alan, and Li, Yingwei. Learning from Temporal Gradient for Semi-supervised Action Recognition. Retrieved from https://par.nsf.gov/biblio/10396509. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) . Web. doi:10.1109/CVPR52688.2022.00325.

Xiao, Junfei, Jing, Longlong, Zhang, Lin, He, Ju, She, Qi, Zhou, Zongwei, Yuille, Alan, & Li, Yingwei. Learning from Temporal Gradient for Semi-supervised Action Recognition. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), (). Retrieved from https://par.nsf.gov/biblio/10396509. https://doi.org/10.1109/CVPR52688.2022.00325

Xiao, Junfei, Jing, Longlong, Zhang, Lin, He, Ju, She, Qi, Zhou, Zongwei, Yuille, Alan, and Li, Yingwei. "Learning from Temporal Gradient for Semi-supervised Action Recognition". 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (). Country unknown/Code not available. https://doi.org/10.1109/CVPR52688.2022.00325. https://par.nsf.gov/biblio/10396509.

@article{osti_10396509,
place = {Country unknown/Code not available}, title = {Learning from Temporal Gradient for Semi-supervised Action Recognition}, url = {https://par.nsf.gov/biblio/10396509}, DOI = {10.1109/CVPR52688.2022.00325}, abstractNote = {}, journal = {2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, author = {Xiao, Junfei and Jing, Longlong and Zhang, Lin and He, Ju and She, Qi and Zhou, Zongwei and Yuille, Alan and Li, Yingwei}, }