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Zane Durante

7 accepted papers

2025

Failures to Find Transferable Image Jailbreaks Between Vision-Language Models

ICLR 2025poster

The integration of new modalities into frontier AI systems offers exciting capabilities, but also increases the possibility such systems can be adversarially manipulated in undesirable ways. In this work, we focus on a popular class of vision-language models (VLMs) that generate text outputs conditi…

Cited by 3SourcePDFScholar
2025

LOMM: Latest Object Memory Management for Temporally Consistent Video Instance Segmentation

ICCV 2025poster

In this paper, we present Latest Object Memory Management (LOMM) for temporally consistent video instance segmentation that significantly improves long-term instance tracking. At the core of our method is Latest Object Memory (LOM), which robustly tracks and continuously updates the latest states of…

Cited by 0SourcePDFScholar
2025

Re-thinking Temporal Search for Long-Form Video Understanding

CVPR 2025poster

Efficient understanding of long-form videos remains a significant challenge in computer vision. In this work, we revisit temporal search paradigms for long-form video understanding, studying a fundamental issue pertaining to all state-of-the-art (SOTA) long-context vision-language models (VLMs). In…

2024

HourVideo: 1-Hour Video-Language Understanding

NeurIPS 2024poster

We present **HourVideo**, a benchmark dataset for hour-long video-language understanding. Our dataset consists of a novel task suite comprising summarization, perception (*recall*, *tracking*), visual reasoning (*spatial*, *temporal*, *predictive*, *causal*, *counterfactual*), and navigation (*room-…

2024

MindAgent: Emergent Gaming Interaction

NAACL 2024findings

Large Foundation Models (LFMs) can perform complex scheduling in a multi-agent system and can coordinate agents to complete sophisticated tasks that require extensive collaboration.However, despite the introduction of numerous gaming frameworks, the community lacks adequate benchmarks that support t…

Cited by 100SourcePDFScholar
2022

MOMA-LRG: Language-Refined Graphs for Multi-Object Multi-Actor Activity Parsing

NeurIPS 2022accept

Video-language models (VLMs), large models pre-trained on numerous but noisy video-text pairs from the internet, have revolutionized activity recognition through their remarkable generalization and open-vocabulary capabilities. While complex human activities are often hierarchical and compositional,…

Cited by 23SourcePDFScholar
2020

Identifying Truthful Language in Child Interviews

ICASSP 2020accepted

When a child is suspected to be the victim or sole witness of a crime, the manner in which information is gathered from the child becomes critical. A child forensic interview is the guided conversation that a legal expert conducts to elicit reliable information from a child. To help substantiate chi…

Cited by 0SourceScholar