5 citations · 9 across the 5 of their papers we have counts for
5 papers
Swift Sampling: Selecting Temporal Surprises via Taylor Series
Dahye Kim, Bhuvan Sachdeva, Karan Uppal +3
While most frames in long-form video are redundant, the critical information resides in temporal surprises: moments where the actual visual features deviate from their predicted ev…
Understanding Task Transfer in Vision-Language Models
Bhuvan Sachdeva, Karan Uppal, Abhinav Java +1
Vision-Language Models (VLMs) perform well on multimodal benchmarks but lag behind humans and specialized models on visual perception tasks like depth estimation or object counting…
Decoding Attention from Gaze: A Benchmark Dataset and End-to-End Models
Karan Uppal, Jaeah Kim, Shashank Singh
Eye-tracking has potential to provide rich behavioral data about human cognition in ecologically valid environments. However, analyzing this rich data is often challenging. Most au…
Suggestion Mining from Online Reviews using ULMFiT
Sarthak Anand, Debanjan Mahata, Kartik Aggarwal +6
In this paper we present our approach and the system description for Sub Task A of SemEval 2019 Task 9: Suggestion Mining from Online Reviews and Forums. Given a sentence, the task…
Identifying Offensive Posts and Targeted Offense from Twitter
Haimin Zhang, Debanjan Mahata, Simra Shahid +5
In this paper we present our approach and the system description for Sub-task A and Sub Task B of SemEval 2019 Task 6: Identifying and Categorizing Offensive Language in Social Med…