• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 112 matches

• 2024
• 
  Kyle Buettner, Sina Malakouti, Xiang Lorraine Li, Adriana Kovashka:
  Incorporating Geo-Diverse Knowledge into Prompting for Increased Geographical Robustness in Object Recognition. CVPR 2024: 13515-13524
• 
  Tristan Maidment, Purav J. Patel, Erin Walker, Adriana Kovashka:
  Using Language-Aligned Gesture Embeddings for Understanding Gestures Accompanying Math Terms. CVPR Workshops 2024: 2227-2237
• 
  Giacomo Nebbia, Adriana Kovashka:
  Image-caption difficulty for efficient weakly-supervised object detection from in-the-wild data. CVPR Workshops 2024: 2596-2605
• 
  Arushi Rai, Kyle Buettner, Adriana Kovashka:
  Strategies to Leverage Foundational Model Knowledge in Object Affordance Grounding. CVPR Workshops 2024: 1714-1723
• 
  Arushi Rai, Adriana Kovashka:
  VEIL: Vetting Extracted Image Labels from In-the-Wild Captions for Weakly-Supervised Object Detection. EACL (1) 2024: 1632-1649
• 
  Giacomo Nebbia, Adriana Kovashka:
  Synonym relations affect object detection learned on vision-language data. NAACL-HLT (Findings) 2024: 3770-3776
• 
  Kyle Buettner, Adriana Kovashka:
  Investigating the Role of Attribute Context in Vision-Language Models for Object Recognition and Detection. WACV 2024: 5462-5472
• 
  Cagri Gungor, Adriana Kovashka:
  Boosting Weakly Supervised Object Detection using Fusion and Priors from Hallucinated Depth. WACV 2024: 728-737
• 
  Kyle Buettner, Sina Malakouti, Xiang Lorraine Li, Adriana Kovashka:
  Incorporating Geo-Diverse Knowledge into Prompting for Increased Geographical Robustness in Object Recognition. CoRR abs/2401.01482 (2024)
• 
  Yuya Asano, Diane J. Litman, Quentin King-Shepard, Tristan Maidment, Tyree Langley, Teresa Davison, Timothy Nokes-Malach, Adriana Kovashka, Erin Walker:
  What metrics of participation balance predict outcomes of collaborative learning with a robot? CoRR abs/2405.11092 (2024)
• 
  Cagri Gungor, Adriana Kovashka:
  Integrating Audio Narrations to Strengthen Domain Generalization in Multimodal First-Person Action Recognition. CoRR abs/2409.09611 (2024)
• 
  Cagri Gungor, Adriana Kovashka:
  Enhancing Weakly-Supervised Object Detection on Static Images through (Hallucinated) Motion. CoRR abs/2409.09616 (2024)
• 
  Sina Malakouti, Aysan Aghazadeh, Ashmit Khandelwal, Adriana Kovashka:
  Benchmarking VLMs' Reasoning About Persuasive Atypical Images. CoRR abs/2409.10719 (2024)
• 
  Kyle Buettner, Adriana Kovashka:
  Quantifying the Gaps Between Translation and Native Perception in Training for Multimodal, Multilingual Retrieval. CoRR abs/2410.02027 (2024)
• 2023
• 
  Mesut Erhan Unal, Keren Ye, Mingda Zhang, Christopher Thomas, Adriana Kovashka, Wei Li, Danfeng Qin, Jesse Berent:
  Learning to Overcome Noise in Weak Caption Supervision for Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 4897-4914 (2023)
• 
  Meiqi Guo, Rebecca Hwa, Adriana Kovashka:
  Decoding Symbolism in Language Models. ACL (1) 2023: 3311-3324
• 
  Yuya Asano, Diane J. Litman, Mingzhi Yu, Nikki G. Lobczowski, Timothy Nokes-Malach, Adriana Kovashka, Erin Walker:
  Impact of Experiencing Misrecognition by Teachable Agents on Learning and Rapport. AIED (Posters/Late Breaking Results/...) 2023: 606-611
• 
  Sina Malakouti, Adriana Kovashka:
  Semi-Supervised Domain Generalization for Object Detection via Language-Guided Feature Alignment. BMVC 2023: 444-447
• 
  Arushi Rai, Adriana Kovashka:
  Improving language-supervised object detection with linguistic structure analysis. CVPR Workshops 2023: 5560-5570
• 
  Giacomo Nebbia, Adriana Kovashka:
  Hypernymization of named entity-rich captions for grounding-based multi-modal pretraining. ICMR 2023: 67-75
• 
  Harsh Sinha, Adriana Kovashka:
  Towards Shape-regularized Learning for Mitigating Texture Bias in CNNs. ICMR 2023: 325-334
• 
  Cagri Gungor, Adriana Kovashka:
  Complementary Cues from Audio Help Combat Noise in Weakly-Supervised Object Detection. WACV 2023: 2184-2193
• 
  Mingda Zhang, Rebecca Hwa, Adriana Kovashka:
  How to Practice VQA on a Resource-limited Target Domain. WACV 2023: 4440-4449
• 
  Mesut Erhan Unal, Adriana Kovashka:
  Weakly-Supervised HOI Detection from Interaction Labels Only and Language/Vision-Language Priors. CoRR abs/2303.05546 (2023)
• 
  Arushi Rai, Adriana Kovashka:
  VEIL: Vetting Extracted Image Labels from In-the-Wild Captions for Weakly-Supervised Object Detection. CoRR abs/2303.09608 (2023)
• 
  Kyle Buettner, Adriana Kovashka:
  Enhancing the Role of Context in Region-Word Alignment for Object Detection. CoRR abs/2303.10093 (2023)
• 
  Cagri Gungor, Adriana Kovashka:
  Boosting Weakly Supervised Object Detection using Fusion and Priors from Hallucinated Depth. CoRR abs/2303.10937 (2023)
• 
  Giacomo Nebbia, Adriana Kovashka:
  Hypernymization of named entity-rich captions for grounding-based multi-modal pretraining. CoRR abs/2304.13130 (2023)
• 
  Yuya Asano, Diane J. Litman, Mingzhi Yu, Nikki G. Lobczowski, Timothy Nokes-Malach, Adriana Kovashka, Erin Walker:
  Impact of Experiencing Misrecognition by Teachable Agents on Learning and Rapport. CoRR abs/2306.07302 (2023)
• 
  Sina Malakouti, Adriana Kovashka:
  Semi-Supervised Domain Generalization for Object Detection via Language-Guided Feature Alignment. CoRR abs/2309.13525 (2023)

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