6 citations · 9 across the 10 of their papers we have counts for
8 papers · 1 filter
EgoCITE: Context-Augmented Indexing and Time-Aware Retrieval for Long-Horizon Egocentric Memory
Le Zhang, Hao Chen, Vlad Roznyatovskiy +2
Long-horizon egocentric memory transforms continuous first-person video and audio into a searchable record of past experiences. We demonstrate two bottlenecks in existing systems:…
How and What to Imagine? Visual Thinking in Unified Multimodal Models for Cross-View Spatial Reasoning
Qian Yang, Ankur Sikarwar, Huy Le +4
Cross-view spatial reasoning remains a weak spot for vision-language models (VLMs): they reason in language and discard the fine-grained geometry the task requires. Thinking with i…
DynFrame: Adaptive Reasoning-Driven Multimodal Framework with Dynamic Frame Augmentation for Complex Video Understanding
Peng Zhang, Guanghao Zhang, Wanggui He +10
Recent video multimodal large language models (MLLMs) increasingly couple step-by-step reasoning with on-demand visual evidence retrieval, allowing models to revisit relevant video…
RiT: Vanilla Diffusion Transformers Suffice in Representation Space
Le Zhang, Ning Mang, Aishwarya Agrawal
Flow matching with -prediction -- regressing the clean data point rather than the ambient velocity -- is known to exploit low-dimensional manifold structure effectively in pixel…
Assessing and Learning Alignment of Unimodal Vision and Language Models
Le Zhang, Qian Yang, Aishwarya Agrawal
How well are unimodal vision and language models aligned? Although prior work have approached answering this question, their assessment methods do not directly translate to how the…
VisMin: Visual Minimal-Change Understanding
Rabiul Awal, Saba Ahmadi, Le Zhang +1
Fine-grained understanding of objects, attributes, and relationships between objects is crucial for visual-language models (VLMs). Existing benchmarks primarily focus on evaluating…