15 citations · 52 across the 7 of their papers we have counts for
9 papers · 1 filter
TIPSv2: Advancing Vision-Language Pretraining with Enhanced Patch-Text Alignment
Bingyi Cao, Koert Chen, Kevis-Kokitsi Maninis +16
Recent progress in vision-language pretraining has enabled significant improvements to many downstream computer vision applications, such as classification, retrieval, segmentation…
Semantic Segmentation under Adverse Conditions: A Weather and Nighttime-aware Synthetic Data-based Approach
Abdulrahman Kerim, Felipe Chamone, Washington Ramos +3
Recent semantic segmentation models perform well under standard weather conditions and sufficient illumination but struggle with adverse weather conditions and nighttime. Collectin…
Text-Driven Video Acceleration: A Weakly-Supervised Reinforcement Learning Method
Washington Ramos, Michel Silva, Edson Araujo +4
The growth of videos in our digital age and the users' limited time raise the demand for processing untrimmed videos to produce shorter versions conveying the same information. Des…
A Sparse Sampling-based framework for Semantic Fast-Forward of First-Person Videos
Michel Melo Silva, Washington Luis Souza Ramos, Mario Fernando Montenegro Campos +1
Technological advances in sensors have paved the way for digital cameras to become increasingly ubiquitous, which, in turn, led to the popularity of the self-recording culture. As…
Straight to the Point: Fast-forwarding Videos via Reinforcement Learning Using Textual Data
Washington Ramos, Michel Silva, Edson Araujo +2
The rapid increase in the amount of published visual data and the limited time of users bring the demand for processing untrimmed videos to produce shorter versions that convey the…
Personalizing Fast-Forward Videos Based on Visual and Textual Features from Social Network
Washington L. S. Ramos, Michel M. Silva, Edson R. Araujo +2
The growth of Social Networks has fueled the habit of people logging their day-to-day activities, and long First-Person Videos (FPVs) are one of the main tools in this new habit. S…