Selected Videos

Recent Work

T LaBonte, Y Song, X Wang, V Vineet, N Joshi. Scaling Novel Object Detection with Weakly Supervised Detection Transformers. Winter Conference in Applications of Computer Vision (WACV) 2023 (to appear).

G Prato, Y Song, J Rajendran, RD Hjelm, N Joshi, S Chandar. PatchBlender: A Motion Prior for Video Transformers. NeurIPS 2022 Vision Transformers: Theory and Applications Workshop (to appear).

Y Ge, H Behl, J Xu, S Gunasekar, N Joshi, Y Song, X Wang, L Itti, V Vineet. Neural-Sim: Learning to Generate Training Data with NeRF. European Conference on Computer Vision (ECCV) 2022.

B Shi, Y Song, N Joshi, T Darrell, X Wang. Visual Attention Emerges from Recurrent Sparse Reconstruction. ICML 2022.

CY Chuang, RD Hjelm, X Wang, V Vineet, N Joshi, A Torralba, S Jegelka, and Y Song. Robust Contrastive Learning against Noisy Views. IEEE CVPR 2022.

Norouzzadeh, MS, Morris, D, Beery, S, Joshi, N, Jojic, N, Clune, J. A deep active learning system for species identification and counting in camera trap images. Methods Ecol Evol. 2021; 12: 150– 161.

P Ghosh, V Vineet, LS Davis, A Shrivastava, S Sinha, N Joshi. Depth completion using a view-constrained deep prior. 2020 International Conference on 3D Vision (3DV), 723-733.

Beery S, Liu Y, Morris D, Piavis J, Kapoor A, Meister M, Perona P. Synthetic examples improve generalization for rare classes. Winter Conference in Applications of Computer Vision (WACV), Aspen, CO, 2020.