17 citations · 27 across the 5 of their papers we have counts for
8 papers
Maintaining Benchmarks Against Increasingly Capable Agents: Detection and Remediation of Unearned Passes
Weijun Luo, Kelvin Luu, Xinyi Liu +6
Agentic benchmarks guide model selection and training. Yet an agent can pass a task without demonstrating the intended capability. Such outcomes constitute unearned passes; their p…
HiL-Bench (Human-in-Loop Benchmark): Do Agents Know When to Ask for Help?
Tu Trinh, Mohamed Elfeki, Guangze Luo +9
Frontier coding agents solve complex tasks when given complete context but collapse when specifications are incomplete or ambiguous. The bottleneck is not raw capability, but judgm…
CIZSL++: Creativity Inspired Generative Zero-Shot Learning
Mohamed Elhoseiny, Kai Yi, Mohamed Elfeki
Zero-shot learning (ZSL) aims at understanding unseen categories with no training examples from class-level descriptions. To improve the discriminative power of ZSL, we model the v…
Creativity Inspired Zero-Shot Learning
Mohamed Elhoseiny, Mohamed Elfeki
Zero-shot learning (ZSL) aims at understanding unseen categories with no training examples from class-level descriptions. To improve the discriminative power of zero-shot learning,…
Video Summarization via Actionness Ranking
Mohamed Elfeki, Ali Borji
To automatically produce a brief yet expressive summary of a long video, an automatic algorithm should start by resembling the human process of summary generation. Prior work propo…
Multi-Stream Dynamic Video Summarization
Mohamed Elfeki, Liqiang Wang, Ali Borji
With vast amounts of video content being uploaded to the Internet every minute, video summarization becomes critical for efficient browsing, searching, and indexing of visual conte…
From Third Person to First Person: Dataset and Baselines for Synthesis and Retrieval
Mohamed Elfeki, Krishna Regmi, Shervin Ardeshir +1
First-person (egocentric) and third person (exocentric) videos are drastically different in nature. The relationship between these two views have been studied in recent years, howe…
GDPP: Learning Diverse Generations Using Determinantal Point Process
Mohamed Elfeki, Camille Couprie, Morgane Riviere +1
Generative models have proven to be an outstanding tool for representing high-dimensional probability distributions and generating realistic-looking images. An essential characteri…