137 citations · 233 across the 26 of their papers we have counts for
8 papers · 1 filter
Query-adaptive Recurrent Tokenization
Bavesh Balaji, Pranav Gopinath, Pouya Sadeghi +1
Visual information worth extracting from an image and the token budget it warrants depend on the text query. Yet modern vision and vision-language models largely encode images inde…
MaskMerge: Structure-aware Token Merging for Efficient Instance Segmentation
Bavesh Balaji, Letian Jiang, Alexander Wong +2
Token merging improves the efficiency of Vision Transformers by combining redundant tokens, but existing methods largely rely on feature similarity to determine which tokens to mer…
Pixels to Tokens: Token Space Efficient Active Learning for Low-Budget Semantic Segmentation
Utku Cicek, Mahip Singh, Ziyao Shang +5
While foundation models and vision transformers (ViTs) have redefined visual representations, current active learning (AL) strategies for these backbones largely operate at the pat…
Clean: Second-order LLM Training at Linear Memory Cost via Nystr{ö}m Sketching
Beheshteh T. Rakhshan, Sahar Rajabi, Maziar Sargordi Shikai Fang +4
Training large language models (LLMs) entails a fundamental trade-off: memory-efficient optimizers such as Adam discard cross-parameter curvature, whereas full-curvature methods su…
How Far Can INRs Go? Cross-Domain Parameter-efficient INR-Based Semantic Segmentation for Brain MRI
Ziyao Shang, Pouya Sadeghi, Letian Jiang +2
Biomedical image segmentation is central to medical image analysis, but practical deployment often faces limited annotations, memory constraints, and cross-site distribution shifts…
PinPoint: Prompting with Informative Interior Points
Pouya Sadeghi, Shawn He, Pedro Pablo Guerrero Vela +3
Modern referring image segmentation pipelines couple a vision-language model (VLM) for grounding with a promptable segmenter such as the Segment Anything Model (SAM) for mask gener…
Zero-Shot Object Re-Identification in Egocentric Kitchen Videos via Multi-Stage SAM3 Feature Fusion
Dmytro Klepachevskyi, Alexander Wong, Sirisha Rambhatla +1
Object re-identification (ReID) in egocentric kitchen videos is challenging due to rapid viewpoint changes, frequent occlusions, cluttered scenes, and large intra-class appearance…
TamperBench: Systematically Stress-Testing LLM Safety Under Fine-Tuning and Tampering
Saad Hossain, Tom Tseng, Punya Syon Pandey +8
As increasingly capable open-weight large language models (LLMs) are deployed, improving their tamper resistance against unsafe modifications, whether accidental or intentional, be…