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Raghav Goyal
PhD Student (Fall, 2019 - Present)
Email: rgoyal14 (at) cs.ubc.ca |
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A Simple Baseline for Weakly-Supervised Human-centric Relation Detection Raghav Goyal, Leonid Sigal In BMVC. Virtual. 2021. [pdf] Random highlight: This project started out as an observation from experimental results of a different project. |
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UniT: Unified Knowledge Transfer for Any-shot Object Detection and Segmentation Siddhesh Khandelwal*, Raghav Goyal*, Leonid Sigal (* equal contribution) In CVPR. Virtual. 2021. [pdf] Random highlight: The weakly-supervised component was notoriously hard and it took us nearly two months to make it competitive to SOTA. |
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Improved Few-Shot Visual Classification Peyman Bateni, Raghav Goyal, Vaden Masrani, Frank Wood, Leonid Sigal In CVPR. Seattle, USA. 2020. [pdf] Random highlight: Mahalanobis distance was surprisingly effective on Meta-Dataset as compared to Euclidean distance. |
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Evaluating visual "common sense" using fine-grained classification and captioning tasks Raghav Goyal, Farzaneh Mahdisoltani, Guillaume Berger, Waseem Gharbieh, Ingo Bax, Roland Memisevic In ICLR Workshop. Vancouver, Canada. 2018. [pdf] Random highlight: Grad-CAM gave some pretty cool saliency maps for videos. Some examples can be found here. |
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The "something something" video database for learning and evaluating visual common sense Raghav Goyal, Samira Ebrahimi Kahou, Vincent Michalski, *, Ingo Bax, Roland Memisevic (* see paper for additional authors) In ICCV. Venice, Italy. 2017. [pdf] [supp] [code] [data] Random highlight: When the dataset was being collected and the size was roughly around 10K videos, the top-1 accuracy on it was about 2%. Fast-forward to leaderboard here. |
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Natural Language Generation through Character-based RNNs with Finite-state Prior Knowledge Raghav Goyal, Marc Dymetman, Eric Gaussier In COLING. Osaka, Japan. 2016. [pdf] Random highlight: I hacked into infamous Theano's scan function to write beam search decoding algorithm. Took me around three weeks but was pretty satisfying! |